Duties: Sie entwickeln gemeinsam mit unseren Kunden und Partnern kreative (digitale) Lösungen, Strategien und innovative Interaktionskonzepte für den wirtschaftlichen Erfolg; Sie bringen Ihre Ideen in die Gestaltung zukünftiger digitaler Erlebnisse (B2B und B2C) ein und entwickeln, akquirieren und leiten selbständig forschungsgeleitete Digitalisierungsprojekte in den unterschiedlichsten Anwendungsfeldern; Sie konzipieren und leiten Workshops, in denen Sie mit state-of-the-Art Kreativitätsmethoden mit den Kunden gemeinsam optimale Lösungen erarbeiten; Sie erstellen bzw. arbeiten an der Erstellung von wissenschaftlichen Beiträgen und Publikationen im Bereich Technology Experience
Requirements: Abgeschlossenes Studium in relevanten Themenbereichen (z.B. Medieninformatik, Psychologie, Soziologie, Verhaltenswissenschaften) oder äquivalente Berufserfahrung (vorzugsweise mit Spezialisierung auf Human-Computer Interaction bzw. User Experience); Exzellente Kenntnisse im Bereich Digitalisierung und User & Customer Experience; Interdisziplinäres thematisches Profil und methodische Kenntnisse (z.B. Innovationsmanagement, Design Thinking, Kreativitätstechnik); Erfahrung bei der Anbahnung und Durchführung von Projekten; Ausgeprägte Ausdrucks- und Präsentationsfähigkeit in Wort und Schrift in Deutsch und Englisch; Teamfähigkeit, Einsatzbereitschaft und selbständige, verantwortungsbewusste Arbeitsweise; Begeisterungsfähigkeit für unkonventionelle Lösungen, Kreativität und Visionskraft

Duties: The candidate is expected to perform and administer high-quality scientific research intended for publication in relevant journals of the disciplines. The candidate shall initiate, develop, lead, and guide research collaboration with industry and other external stakeholders. To that end, the candidate will work closely with other researchers and the Outreach officer to engage the private and public sectors in creating the opportunities for such collaborative and commissioned research. Such research includes, but is not limited to, applied thesis projects at the award-winning one-year Master programme in Logistics and Supply Chain Management, short- and long-term projects at the post-graduate level, and research carried out by university professors. To increase the viability of such projects, facilitation and involvement in writing grant applications for competitive national and international funding agencies are envisioned
Requirements: A PhD in Supply Chain Management, Logistics, Operations Management, Engineering, or a related field; Demonstrated excellence in working and developing research collaboration with industry; Proven track record in obtaining research grants from both the public and private sector (well linked to industry); Proven teaching ability and experience; Proven knowledge of both qualitative and quantitative research methods; Demonstrated excellence in organisational and managerial skill; Willingness to work in an inter-cultural and international environment and collaborate across disciplines

Duties: Research on the integration of 5G NR with Non-Terrestrial Networks (NTN) focused on: MIMO, Beamforming, Precoding; Ultra-reliable and low-latency communications; Mobile edge computing; 5G and Health Regulations; Beyond-Line-Of-Sight control of 5G-assisted UAVs; Demonstration of SDR-based 5G-nodes prototypes; Opening his/her research line in synergy with the currents research projects
Requirements: A Ph.D. degree in Telecommunication Engineering, or Electrical Engineering or Computer Science/engineering with a focus on wireless communications; A proven record of accomplishment in the areas of Terrestrial Wireless Communications with a focus on physical layers of LTE and 5G NR; Knowledge of higher-layer signaling processes in LTE and 5G protocol

Duties: Im Rahmen des „Regionalen Zukunftszentrum Nord“ arbeitet das OFFIS - zusammen mit anderen norddeutschen Akteuren - am Aufbau eines Kompetenzzentrums zur Unterstützung von Unternehmen bei der digitalen Transformation und der Einführung von menschenzentrierter künstlicher Intelligenz. Sie beraten hierbei Partner und Unternehmen in technischen Fragen zu KI-Themen und erarbeiten mit den Projektpartnern Konzepte und Methoden, um dieses Wissen möglichst effizient den Mitarbeitenden eines Unternehmen zu vermitteln
Requirements: Abgeschlossener Master in Informatik oder einem informatiknahen Fachgebiet; Erfahrung im Bereich der Künstlichen Intelligenz (Algorithmen und Methoden); Interesse und Bereitschaft zur Einarbeitung in neue Digitalisierungstrends; Selbstständige und sorgfältige Arbeitsweise; Ausgeprägte Kommunikationsfähigkeit in Wort und Schrift; Sehr gute Deutschkenntnisse für direkte Abstimmungen mit den Industriepartnern

Duties: Konzeption, Einführung, Weiterentwicklung und Betreuung der Systeme rund um das Thema digitale Zusammenarbeit, wie z. B. Kollaborationssystem, Intranet, Video- und Webkonferenzsysteme, Chatsysteme; Anforderungsmanagement: Bedarf und Wünsche der Fachbereiche Erheben, Spezifizieren und Prüfen als Schnittstelle zwischen Anwendern und der IT; Beratung und Schulung der Anwender für einen effizienten Einsatz der Systeme im Arbeitsalltag; Administration/Benutzerschutz und Betreuung bei technischen Fragen; Erfassung von Trends
Requirements: Erfolgreich abgeschlossenes BWL-Studium und Affinität zur IT oder mehrere Jahre Erfahrung bei den Aufgaben eines Business Analysten; Gute Kenntnisse über marktübliche Kommunikations-/Kollaborationstools oder dem starken Willen, sich diese schnell anzueignen; Geübter Umgang mit Standardbüroanwendungen wie z. B. PowerPoint, Word, Excel; Gute analytische und konzeptionelle Fähigkeiten, Kreativität und Spass an der Lösung komplexer Probleme; Starke Neigung zu projektorientierter Arbeit, verbunden mit einem hohen Mass an Kommunikations-und Teamfähigkeit

Duties: Implement institutional policies and procedures for adequate data lifecycle management, standards and legal compliance, data protection, documentation, and information security; Ensure data transferred from and to ELIXIR-LU and the LCSB meets international standards with respect to formats, metadata, security and validity of processing and data protection; Contribute to research and developments towards novel IT solutions in research data management, research reproducibility and data protection; Contribute to research and scientific developments of data formats, security and validity of processing and data protection; Assist with managing data submissions and handling data access requests; Assist with monitoring ELIXIR-LU (and LCSB) GDPR compliance, help devise and implement technical and organizational measures towards data protection. Assist with performing data protection impact assessments (DPIA) for research projects
Requirements: Background in biomedical or computational sciences with an MSc or PhD degree; Exposure to biomedical research; Autonomous, dynamic, and curious; Excellent oral and written communication skills in English, and preferably also in French and/or German; Strong communication and interpersonal skills and problem solving mindset; Experience of collaborative research, research data management and data protection will be considered an asset; Knowledge of any of the following will be considered an asset: FAIR principles, RDM life cycle, ELIXIR landscape, metadata serialization, persistent identifiers, metadata standards, data management plans (DMP), data capture and/or cataloging tools, programming principles, and IT infrastructure services (such as NFS, SMB, OIDC, LDAP, ...)

Duties: The successful candidate will work closely with the Laboratory Director on a project whose goal it is to develop a general framework and theory for the rigorous mathematical treatment of a certain class of artificial neural networks endowed with general distributed time delays
Requirements: Candidates must hold a Ph.D. degree in mathematics or applied mathematics by the time of appointment; A minimum of four years' experience working with retarded functional differential equations and other types of nonlinear dynamical systems; Strong scientific programming skills in C, C++, C#, Python, or MATLAB are required

Duties: The focus of the project will be on performing exploratory analyses and developing computational models to connect population genetic processes (population expansions, migrations and admixture), patterns of material culture distribution (i.e. diffusion of technology and art forms), environmental factors (climate, ecozones, subsistence strategy and the presence of pathogens), sedimentary DNA and demographic data (such as population density estimates from radiocarbon date density data). This will be done using a variety of geostatistically-aware models that account for auto-correlations in both space and time
Requirements: The candidate will have a PhD degree or equivalent doctorate, with a background in one or more of the following areas: statistics, data science, evolutionary biology, population genetics, computational biology, bioinformatics and/or mathematics. The ideal candidate will demonstrate a working proficiency in one or more programming languages commonly used in data science (e.g. experience in Python, R, C/C++, Java or Julia) and have experience in the UNIX operating environment

Duties: The Cognitive computing research group is seeking 1-2 postdoctoral researchers to conduct research in Machine learning for Human-AI interaction. The candidate will work with new types of man-machine interfaces that are based on machine learning, reinforcement learning, and deep learning methods allowing new types of man-machine interactions in which machines can learn directly from human behaviour and physiology. The methods will be developed and applied also for physiological sensing and brain-computer interfacing data. The position provides an opportunity to contribute both to fundamental computer science and ground-breaking human-computer interaction research
Requirements: Applicants should have an PhD in computer science or related field. The ideal candidate has a strong background in the intersection of fundamental or applied machine learning, and human-computer interaction. However, sole understanding of modern machine learning methods and good programming skills are required and should be witnessed by publications in top publication venues. The candidates may have background in computational human-computer interaction (e.g. CHI, UIST, IUI, TOCHI), or machine learning, information retrieval, data-analytics, or computer vision (e.g. NeurIPS, ICLR, SIGIR, TOIS, CIKM, KDD, VLDB, SIGMOD, CVPR, SIGGRAPH). The exact research direction and tasks will be determined based on the background and interests of the candidate

Duties: We are looking for a motivated and talented Postdoc that is eager to work on cutting-edge research projects within our young and international team. The applicant will contribute to multidisciplinary projects in direct cooperation with animal breeders, molecular biologists, and support teams, in a frame of national and international cooperations with public institutes and companies. The applicant will participate to the elaboration of molecular breeding strategies based on GWAS and Genomic Selection in livestocks. You will set-up pipelines to analyze and organize genomic diversity data (whole genome resequencing or other methods, SNP array) for animal genomes. Transcriptomics and proteomics data will be also included. You will benefit from the strong international resources developed about these genomes in the last 12-10 years
Requirements: PhD in Bioinformatics or a related discipline, or Biological Science in a relevant field of molecular breeding or quantitative genetics, or Statistical Genetics; Expertise in bash and pipelines from raw sequencing data to VCF files, and expertise in statistical software (R, Python, etc.); Some knowledge and experience with statistical tools and methods involved in animal modern genetics are an asset. If not, the lab will provide detailed and thorough training in this field; Fluent in written and oral English language is essential

Duties: To support QGG’s work in the green transition, we are looking for a candidate with a primary focus on developing data science methods, and that is keen on using novel methods in applications such as prediction of molecular phenotypes (transcription levels, protein structure, etc.), dissection of agronomic traits (automated description of plant or animal morphological and physiological, charactariscics based e.g. on image analysis), and integrations of biological networks. The candidate will build a collaborative work environment within and outside QGG to integrate novel data science applications towards the green transition in agriculture, while developing and maintaining own independent research program in machine learning and data science
Requirements: Has a PhD with a solid background in data science and machine learning, e.g., computer science, software engineering, computational biology or similar background with a focus on developing novel data science applications, and 2- 4 years relevant postdoc experience; Is proficient in programming languages (e.g., Python, C++) and has a publication record that includes software development; Is interested in working with other scientists on real-world applications, especially in agriculture’s green transition; Can develop an independent research program in data science and has demonstrated capacity to attract funding and build a collaborative network in data science; Is an excellent team player that has demonstrated the ability to work with scientists across disciplines to tackle real-world problems

Duties: The division of Computational Science and Technology is looking for a Postdoc in Computer Vision/Machine Learning to handle scale-dependent image information in deep networks. In our research, we develop deep networks for processing image data that handle scaling transformations and other image transformations in a theoretically well-founded manner. Our research in this area comprises both theoretical modelling of the influence of image transformations on different architectures for deep networks and the experimental evaluation of such networks on benchmark datasets to explore their properties. The work also comprises the creation of new benchmark datasets, to enable characterization of properties of deep networks that are not covered by existing datasets
Requirements: A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline (With some exceptions for special reasons such as periods of sick or parental leave, kindly indicate if such reason exists in your resume); We are looking for a candidate with a PhD in Computer Vision, Machine Learning or a related discipline dealing with automated analysis of image information; Previous experience with experimental evaluations using deep learning architectures applied to image data is necessary, preferably PyTorch; A theoretical background in continuous mathematics for modelling convolutions and the influence of image transformations on image data is also necessary

Department: School of Statistics
Workload: 100%
Duties: The School of Statistics at the University of Minnesota invites applications for multiple full-time, tenure-track positions at the rank of assistant professor in the area of statistics and data science, to begin fall semester 2022 (August 29, 2022). Faculty in the School of Statistics in the College of Liberal Arts are expected to maintain an active research program in statistics, develop and teach undergraduate and graduate courses, advise undergraduate and graduate students, and contribute service appropriate for the rank of the appointment to the department, college, University, and profession
Requirements: Ph.D. in Statistics or a closely related field is required by the start date of the appointment. Candidates with an established research record and college or university level teaching experience are preferred. Our student body is increasingly diverse (across gender, race/ethnicity, first generation college, income), and candidates with a demonstrated interest in teaching and mentoring a diverse student body are preferred

Duties: This position will engage in teaching, research, and service in the Department of Mathematics. The area of research is probability with applications in data science. Assistant Professors in the College of Science and the Department of Mathematics are expected to demonstrate effectiveness in teaching, advising and other institutional activities; achievement in scholarship and creative activity that establishes the individual as a significant contributor to the field or profession; and an appropriate balance of institutional and professional service. All professorial positions are expected to make significant contributions to undergraduate and graduate education
Requirements: PhD in Mathematics, or related field, by September 15, 2022; Research activity in the area of probability with applications in data science; Demonstrated ability or significant potential to develop, conduct and disseminate high-quality research; Demonstrated ability or significant potential for teaching excellence and commitment to student success which can benefit the graduate and undergraduate programs at OSU

Duties: Leverage CarMax’s machine learning cloud environment to design, develop, & operationalize algorithms (e.g. statistical models, machine learning) that will directly impact critical areas of the CarMax business; Assess performance of in-market algorithms and identify & act on opportunities for improvement; Partner with teams across CarMax to explore new use cases for algorithms and bring new customer experiences to life; Design tests and develop strategies to collect data needed to improve algorithm performance and produce iconic data-driven experiences for CarMax customers
Requirements: Degree in Statistics, Data Science, or a related field; 2+ years of experience in a relevant field; Experience developing and maintaining data science algorithms in a business setting; Experience designing and analyzing statistical tests; Strong verbal and written communication skills with an ability to communicate complex concepts in simple terms & an ability to tie analytic results to business outcomes; Strong results focus, project management, & teamwork; Proficiency in coding for analysis and operationalization/automation (e.g. Python/R, SQL/Teradata)

Duties: single-cell characterization (sc/snRNA-Seq); gene expression analysis (RNA-Seq, eQTL, Pathway/network analysis); bioinformatics engineering (programming, analytical pipeline development, data visualization, high-performance/cloud computing); statistical genetics (GWAS/PheWAS/Fine mapping/Gene burden testing); statistics and machine learning (traditional statistical analysis, decision theory, clustering, network analysis, text mining); evolutionary/population genetic sequence analysis (Population structure, Homology/Conservation inference)
Requirements: PhD or MS with experience in computational biology, statistical genetics, population genetics, bioinformatics, biomedical engineering, statistics, computer science, machine learning or a related field; A proven track record in the analysis, visualization, and interpretation of genomic data types including next-generation sequencing (NGS) data; Demonstrated ability to work closely with project teams and/or experimental collaborators to design studies and develop analyses to answer scientific questions; Familiarity with applying computational methods and bioinformatics tools to large- scale data including proficiency with Linux/Unix systems and high-performance computing environments; Experience with relevant analytical approaches and underlying statistical assumptions; Detail-oriented and self-motivated approach to problem solving with excellent analytical rigor

Duties: Working with clients to uncover and frame new opportunities for data science. Clients often come to us without a clear understanding of what we can do, so this is our chance to open their eyes to new possibilities for their businesses; Exploring client datasets, looking for actionable insights we can present; Engineering features, training models, tuning hyperparameters and evaluating the results. We emphasize rigor, because data science done right at this stage leads to models that shine in production; Taking the models we build into production. This is an exciting stage for anyone who likes collaborating with engineering teams and seeing their model become real when users interact with it
Requirements: At least a bachelor’s degree in an analytical or technical field. This could be applied mathematics, statistics, computer science, operations research, economics, etc. Higher education welcome and encouraged; 2+ years of work in a data-centric field (data science or data engineering); Experience with relational databases; Exposure and experience working in a Linux environment; You have a specialization in an area like NLP, optimization, or image processing; Hands-on experience working in a distributed computing environment or proven theoretical understanding of parallelism

Duration: 2 y
Duties: The Department of Environmental Health Sciences at Columbia University Mailman School of Public Health seeks up to three postdoctoral scientists for work on infectious disease modeling. Successful candidates will support multiple projects investigating nonlinear error growth in infectious disease systems and developing model-inference frameworks for simulation of infectious agents, inference of critical epidemiological characteristics, counterfactual simulations, and projections and forecasting. The postdoctoral scientists will join a dynamic team of computational biologists, epidemiologists, and mathematicians studying a range of infectious diseases, including influenza, COVID-19, malaria, dengue and anti-microbial resistant organisms
Requirements: Candidates applying for these positions must have or be near completion of a doctoral degree in Computational Biology, Mathematics, Statistics, Epidemiology or a related discipline. Persons with a strong background and interest in Bayesian statistics, mathematical modeling and/or infectious disease dynamics are encouraged to apply. Experience programming in languages such as Matlab, R, or Python is required

Workload: 100%
Duties: ManTech is currently seeking experienced professionals for the Air Force Nuclear Weapons Center at Hill Air Force Base-Ogden, Utah. This will be supporting the Integration Support Contract (ISC) 2.0. Intercontinental Ballistic Missile (ICBM) weapon systems. As the Employer of Choice in the government services and solutions industry, ManTech seeks like minds who exhibit a sense of service, creativity and dedication. The ManTech family comprises a diverse yet united group of nearly 8, 000 talented professionals around the globe, each bringing distinct backgrounds and skill sets to the team. Nearly half of us are veterans
Requirements: BA or BS degree in STEM-related field + 5-9 years' experience; 9 years' experience equivalent to any combination of education/experience; Contractor shall obtain and maintain certifications as required by current versions of AFMAN17-1303, DoDI 8570.01 -M, and other applicable laws and regulations; Ability to obtain a U.S. DOD Security Clearance up to the Top Secret level if required; Active DOD Secret or (STRONGLY preferred) Active DOD Top Secret Clearance

Duties: The candidate will interact with researchers active in health and education. In the health domain, we are primarily focusing on clinical decision support systems. These tools often involve risk prediction models for medical conditions, where both accuracy and interpretability are of high importance. In the domain of education and training, we focus on decision support for learners and teachers/experts, and develop novel techniques for recommending learning tasks matched to the skills and interests of learners, for automated assessment of learning tasks that involve multiple skills, and for predicting dropout in learning environments that require high self-regulation (e.g. MOOCs)
Requirements: The applicant must have obtained a PhD in machine learning, artificial intelligence, computer science, statistics or related fields; Research experience in one of the key activities investigated in itec's AI and machine learning subgroup (see above) is a must and must be clearly indicated in the motivation letter; Research experience in machine learning for education or for health, is considered a strong asset; Excellent command of English is necessary (both written and orally). Knowledge of Dutch is considered a strong asset; Strong publication record; Experience with grant writing is considered an asset; Strong communication skills, leadership skills, high flexibility and a real team player

Department: Computer Science
Duties: We seek 2 applicants with expertise and experience that complements or builds on our current strengths, including but not limited to, the areas of: human factors in security, systems and network security, machine learning and security, cybercrime, embedded systems security, and software security. Since we are an experimental Computer Science department, and UCL is strongly committed to multi-disciplinary research, we are looking for researchers who are interested in collaboration with colleagues in the Faculty of Engineering (e.g., Crime Science) and with other research groups and centres within the Computer Science department, e.g., UCL Interaction Centre (UCLIC), Systems and Networks, Computational Statistics & Machine Learning (CSML), Software System Engineering
Requirements: Candidates must hold a PhD in Computer Science or a closely related field by the time they begin their appointment. They will be evaluated chiefly on the significance and novelty of their research to date, and their promise for leading a group in a fruitful program of research. They must also demonstrate a zest for innovative and challenging teaching at the graduate and undergraduate levels. A proven record of ability to manage time and evidence of ability to teach and to supervise academic work by undergraduates, masters, and doctoral students are desirable

Duties: Assist in the Development of GeoWiki and other current NODES projects; Designing and developing software systems for scientific projects; Assist on technical issues including software system design and maintenance; Monitor quality and performance of applications through testing and maintenance; Document all work for future reference
Requirements: A degree in Computer Science, Engineering or similar or several years' hands-on experience in application development; Excellent written and oral communication skills; Proven experience and working knowledge of .NET, ASP.NET, C#, .NET Core, JavaScript, TypeScript; Efficient use of relational and non-relational databases (PostgreSQL/PostGIS, SQL Server, MongoDB, Redis) and experienced in using ORM frameworks; Unit and integration testing experience; Experience with RESTful web services, GraphQL and designing and consuming APIs; Familiarity with Kubernetes, Docker Swarm and Microsoft Azure; Understanding of other technologies and concepts desirable - e.g., Microservices, SignalR, WebSockets

Duties: Processing and analysing quantitative proteomics datasets in a standardized and reproducible manner; Multi-layered data visualization; Integrating data with available datasets such as gene dependency or structural predictions; Navigating an existing infrastructure for data management and data storage; Independently communicating and presenting results internally, as well as to our external pharma partner; Further tasks to be discussed based on candidate's individual interests and levels of experience
Requirements: The successful candidate holds an MSc. or PhD degree in (bio-) informatics or in life sciences. We are looking for a solution-oriented, persistent researcher with an independent, well-structured and goal-oriented working style. You should have a scientific track record (including at least one first author publication) in the fields of computational biology, mass spectrometry, or proteomics. We expect the successful candidate to be proficient in statistics and standard proteomics software tools such as Proteome Discoverer or MaxQuant. Moreover, the successful candidate should be fluent in Python, R or a similar programming language. Expertise in structural biology and the interpretation of structural models (e.g. Alphafold) are considered a plus

Workload: 100%
Duties: As a collaborator in the area of technology and knowledge transfer you will support the Technology Transfer Manager to strengthen our capacity to transfer knowledge from academia to industry and society. The service main goal is to catalyze opportunities for innovation and to transfer research results to promote the development of the territory and industry, including through spin-off initiatives. The service operates with a push (from research to companies) and pull (from companies to research) approach. In your function you will provide advice to members of the academic community on issues related to cooperation with economic partners, the protection and exploitation of intellectual property and the creation of spin-offs
Requirements: Master of science degree in a technical discipline; Negotiation skills and drawing-up of contracts with industry (in Italian or English), and knowledge of other national languages is considered of advantage; Education and/or previous experience in intellectual property protection is considered of advantage; Professional experience with industry is considered of advantage

Duties: Mediated-reality development for prototyping and simulation of dedicated, interactive scenarios ranging from fully controlled/artificial (VR) to increasingly realistic (AR) environments; Research on and validation of different strategies for unisensory stimuli generation and methods for balancing multisensory input; Exploration of the modulation of subjective time perception related to visual cues and information; Meeting regularly (physically or virtually) with other researchers in Europe; Disseminating results through scientific publications; Contributing to teaching and co-supervising students
Requirements: A Master’s degree in Computer Science or a closely related discipline; Strong programming skills; ideally previous experience in VR/AR and UX development; A proven interest in interdisciplinary research and record of initiative; English language proficiency, written and spoken; The candidate should be a self-motivated, critically-reflecting team worker