Aufgaben: Architect, develop, test, maintain Bioinformatics Pipeline Systems; Research and develop new algorithms, programs to support and improve Bioinformatics system efficiency; Data management, data maintenance and database administration; Identify, design, and implement process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalabilities; Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics; Support business operations, processing, and exceptions; Database design, analysis, implementation, and support; System administration and maintenance
Anforderungen: A Bachelors Degree with a major in Bioinformatics, Computer Science, or a related discipline; Knowledge of Java, JavaScript, Python, Bash Scripts; Knowledge of Database, SQL; Knowledge of GIT Source Control, Windows, and Linux

Aufgaben: Successful candidates will carry out research in the area of Smart European Electricity Markets, making a contribution to a successful energy transition in Luxembourg and the EU. As such, the candidate will also be involved in various (inter-)national initiatives and engage with different (political) decision makers to shape future markets in Europe. Candidates will have the opportunity to investigate a broad range of research areas and design an individual research portfolio with high policy impact. As such, successful candidates will be able to align the skills that they learn pursuing a doctorate with their personal goals and interests
Anforderungen: Master’s degree in Energy Policy, Energy Economics, Mathematics, Operations Research, or a related field; Strong knowledge of quantitative and/or computational research methods, ideally optimization and simulation models or forecasting/econometric analysis; Proficiency in one of the major programming languages such as Python; A collaborative team player with a desire to make a personal impact within our interdisciplinary research group and our broader economy and society

Aufgaben: Methodological advances enable a deeper characterization of tissues on the cellular (single-cell omics) and spatial level (imaging). Computational methods are needed for data integration and for gaining deeper insights, e.g., into metabolic rewiring in neurodegenerative diseases. In this project we aim to 1. Further develop a computational approach for the integration of single-cell RNA-Seq and imaging data towards the detailed metabolic network modelling of brain tissue on a multi-cell population level. 2. Apply this framework for the deeper characterization of metabolic alterations in neurodegenerative diseases and for the prediction of novel drug candidates and combinations
Anforderungen: PhD in Systems Biology, Computational Biology, Bioinformatics or equivalent. Strong background in computational and molecular biology, especially data, network and image analysis, as well as in biochemistry

Aufgaben: Impegnarsi nell'integrare le descrizioni qualitative con i modelli quantitativi nell'ambito della pianificazione dei sistemi energetici; Sviluppare e suggerire approcci innovativi per l'analisi e la creazione di modelli relativi alle politiche basate su dati quantitativi; Analizzare molteplici scenari di transizione energetica su scala regionale, considerando i compromessi sociali, l'incertezza e gli effetti di lock-in; Pubblicare i risultati della ricerca su riviste accademiche peer-reviewed e presentare a conferenze pertinenti
Anforderungen: Laurea specialistica o dottorato in ingegneria, scienze ambientali, statistica applicata, informatica o un campo correlato; Interesse per la modellazione di sistemi multi-energetici, per le politiche basate su modelli e dati, per il processo decisionale in condizioni di incertezza, per il lavoro con dati e statistiche nazionali e regionali in un ambiente multidisciplinare, per gli strumenti visivi per la pianificazione partecipativa

Aufgaben: This postdoctoral position is linked with a research effort aiming to apply cryptographic methods for studying the security aspects of Artificial Intelligence (AI). Cryptographic approaches will be tested for attacks on AI and existing protection methods in cryptography will be applied for security of AI. The candidate will have the freedom to explore new related topics and drive the research in the direction of security of AI and cryptographic elements
Anforderungen: Applicants must hold a Norwegian PhD or an equivalent degree within cryptography or AI; Applicants should have a genuine interest in AI, and the research proposal must be related to artificial intelligence

Aufgaben: Are you looking for a student job during the school holidays? Are you curious to explore the fascinating and exciting world of research? The Luxembourg Institute of Socio-Economic Research (LISER) might have the right mission for you
Anforderungen: You are between 15 and 26 years old; You are enrolled on a full time-basis in a Luxembourgish or foreign educational establishment, or have graduated less than 4 months ago; You are fluent in English and speak at least one of the official country languages (French, German or Luxembourgish)

Aufgaben: Conduct cutting-edge research in the field of joint communications and sensing (remote sensing and/or PNT) for the next generation of non-terrestrial networks; Develop innovative solutions and algorithms for integrating communication and sensing capabilities by solving inherent challenges of the space-based or airborne networks; Collaborate with interdisciplinary team of researchers at SIGCOM to identify unexplored areas of potential breakthroughs in the field; Stay abreast of the latest advancements in satellite communication, signal processing, radar technologies, navigation algorithms, and related fields
Anforderungen: A PhD degree in Telecommunication Engineering, or Electrical Engineering or Computer Science/engineering with a focus on wireless communications; Experience in signal processing for wireless communication algorithms; Proven knowledge of the optimization theory; Good understanding or willingness to learn the radar technologies; Sound publication track record in relevant international conferences and top journals in the related research areas (communications and/or sensing and/or PNT, IEEE Transaction publications are highly recommended); Strong programming skills in MATLAB. Python/TensorFlow or C/C++ are a plus but not mandatory

Aufgaben: The project aim at optimizing the performance of forthcoming 6G networks through the deployment of reconfigurable intelligent surfaces in both low (sub-6 GHz) and high frequency (millimeter-wave and THz) bands. In addition, the candidates are expected to disseminate results through scientific publications and conferences and actively contribute to the preparation of new research proposals to attract industrial, national, and European projects and to the day-to-day supervision of PhD students
Anforderungen: The candidates are required to be holders of a PhD degree in Telecommunication Engineering or Electrical Engineering with a focus on wireless and mobile communications. The ideal candidates should have a strong background in signal theory, digital communications, and signal processing with focus on a number of the following subjects: Wireless and mobile communications. Background on either satellite or millimeter wave/THz communications is highly desirable; Multiple-antenna transmission and reception methods in fading channels, both narrowband and frequency-selective. Topics of interest are: massive-MIMO, cell-free massive MIMO, hybrid analog-digital beamforming, distributed antenna systems

Aufgaben: Work closely together with other team members; Stay educated on private capital markets and conduct research towards current market developments and long-term trends to derive actional investment ideas; Take responsibility and be a key contributor in the due diligence process for new investments in funds and in bespoke managed account solutions (i.e. manager selection, commercial due diligence, involvement in legal and tax due diligence activities and monitoring); Monitoring of the existing private equity and private debt portfolio
Anforderungen: University degree in finance, economics, business administration, mathematics, or engineering with a good degree or a banking education with a capital market specific qualification; e.g; CFA or CAIA; Knowledge of the corporate finance toolkit (valuation, LBO, M&A and accounting) with corresponding ability to implement know how in cash flow analysis and investment models

Pensum: 100%
Aufgaben: The Mathematical Imaging and Visual computing group, part of the Institute for Health Equity Research (IHER) and the College of Agriculture, Science and Technology (CAST), is recruiting a qualified post-doctoral fellow to perform research in the areas of biomedical image analysis and machine learning. The successful candidate must have background in image processing/analysis, machine/deep learning, and data science. The post-doctoral researcher will work on deep learning techniques for image segmentation, image registration, and prediction modeling
Anforderungen: PhD (required) in Computer Science, Computational Mathematics, Engineering, or related areas; familiarity with medical imaging database management and/or web-based application development

Aufgaben: Apply state-of-the-art machine learning software solutions for various artificial intelligent system applications; Interact with team members to discuss technical solutions to problems; Develop tools and techniques to improve our team's research and development capability; Interact with clients (and potential clients) to discuss and propose technical solutions to unique problems
Anforderungen: Requires a Bachelors, Masters, or a PhD in Data Science, Computer Science, Computer Engineering, Electrical Engineering, Mechanical Engineering, or related field Classes, projects, or training in perception (computer vision/image processing, LIDAR and/or radar) software solutions for various intelligent system applications Classes, projects, or training in C++, python, and ROS experience required

Aufgaben: Apply state-of-the-art machine learning solutions for various artificial intelligent applications; Interact with team members to discussion technical solutions to problems; Manage the various aspects of a project (e.g., technical goals, team tasking, project budget, reporting); Interact with clients (and potential clients) to discuss and propose technical solutions to unique problems, both in-person and virtually
Anforderungen: Requires a Bachelors, Masters, or a PhD in Data Science, Artificial Intelligence, Computer Science, Cognitive Science, Computer Engineering, or directly related engineering or related program; PhD with 6 years experience (academic or industry) in machine learning software solutions for various applications such as image processing, ontology, medical data analysis, or mobile robotics

Aufgaben: Design and develop machine learning systems and run machine learning tests and experiments; Select appropriate datasets, and run machine learning tests and experiments; Perform statistical analysis and fine-tune using test results; Train, monitor and retrain systems when necessary; Bring models to production; Ability to write robust code in Python
Anforderungen: Master’s degree; Previous Experience in Fintech will be a plus

Aufgaben: Act as the data and statistical leader across a variety of research projects; Prioritize and extract data from a variety of sources such as notes, survey results, medical data, and other big data sources, determine and maintain its accuracy and completeness; Determine additional data collection and reporting requirements; Design and customize analytical reports based upon data in the database. Oversee and monitor regulatory compliance for utilization of the data; Use system reports and analyses to identify potentially problematic data, make corrections, and eliminate root cause for data problems or justify solutions to be implemented by others
Anforderungen: Bachelor’s degree and three years of relevant experience or combination of education and relevant experience. An advanced degree (Master’s or PhD) is highly desired; Experience in a quantitative discipline such as economics, finance, statistics, political science, computer science, engineering, health economics, or biostatistics; Excellent writing and analytical skills; Mastery of R; Knowledge of causal inference methods

Aufgaben: Collect, manage and clean datasets; Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data; Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements; Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions; Develop reports, charts, graphs and tables for use by investigators and for publication and presentation
Anforderungen: Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering

Aufgaben: The School of Engineering and Technology (SET) at the University of Washington Tacoma (UWT) is seeking to hire a postdoctoral fellow in bioinformatics. This full-time position is expected to work with biomedical collaborators to develop analytical workflows, methods and software tools to analyze biomedical data
Anforderungen: Completed PhD or foreign equivalent in computational or biomedical sciences; At least 1 year of research experience in bioinformatics or related disciplines; Proficient in programming such as Python, R, bash, or shell scripts; Experience writing and publishing manuscript(s) that report original research; Excellent written and oral communication skills required; Ability to work both independently and in collaboration with a team

Aufgaben: Applications are invited for one or more non-tenure-track postdoctoral positions. The initial appointment is for a period of twelve months, full-time, with the possibility of renewal for a total period of up to three years, to begin in September 2023. Duties include engaging in ongoing and active independent research and teaching a full-time load of undergraduate and graduate courses. In particular, the job title will be “50% postdoctoral scholar, 50% teaching associate, ” to reflect these two components of the job
Anforderungen: Applicants are required to have a PhD, or foreign equivalent, by the starting date, and to be highly qualified to teach a full-time load of undergraduate and graduate courses while also engaging in ongoing and active independent research

Aufgaben: Du unterstützt unsere Kunden von der Datenstrategie über das Design moderner Daten- & Analytics-Architekturen bis hin zur Entwicklung und Aufbau von konkreten Cloud Implementierungen mit modernsten Technologien; Aufbau von hochverfügbaren, skalierbaren (Daten-)Plattformen auf Multi bzw. Hybrid-Cloud-Infrastrukturen; Optimierung von Lösungen in der Cloud hinsichtlich Kosten, Wartbarkeit, Testbarkeit, Stabilität und Skalierbarkeit; Unterstützung beim Aufbau von effizienten DevOps-, DataOps-, sowie MLOps-Prozessen von Infrastruktur- über Applications- bis Modell-Deployments
Anforderungen: Abgeschlossenes Studium der (Wirtschafts-)Informatik, Naturwissenschaften, Mathematik, Wirtschaftswissenschaften oder eine vergleichbare Ausbildung; Mehrjährige Berufserfahrung in den o.g. Aufgabenbereichen oder der Programmierung in gängigen Sprachen sowie belastbarer Erfahrung in der Entwicklung im AWS, Azure oder Google Cloud-Umfeld; Erfahrung mit den Analytics-Services und Storage-Lösungen der grossen Cloud-Provider vorteilhaft; Erfahrung mit SQL-Datenbanken und Big Data Tools wie Hadoop, Hive, Kafka, Spark, HBase vorteilhaft; Praktische Kenntnisse und Erfahrung Continuous Integration und Deployment (git, Jenkins, GitHub, etc.), mit der Nutzung von Linux-Shell sowie Cloud Deployment-Modellen auf Enterprise-Level (public, private, hybrid)

Aufgaben: Eigenverantwortliche Begleitung und Unterstützung unser Kunden im Rahmen anspruchsvoller Beratungsprojekte zu verschiedensten Themen der Versicherungswirtschaft; Kontaktperson bei der Einbindung von Modellergebnisse in die Unternehmenssteuerung und Treiber für die Weiterentwicklung von Unternehmensmodellen; Unterstützung unserer Kunden bei aktuariellen und strategischen Fragestellungen; Entwicklung von kreativen neuen Produkten gemeinsam mit unserem Mandanten auf der Basis von Profitabilitäts- und Marktanalysen; Begleitung und aktuarielle Leitung von M&A-Prozessen, Restrukturierungen und Neugründungen von Unternehmen der Finanzdienstleistungsbranche; Repräsentation unseres Unternehmens im Markt durch die Teilnahme an Fachveranstaltungen, Organisation von Workshops und weitere Marketingmassnahmen; Du denkst vorausschauend und bist First Mover, wenn es um neue Lösungen für unsere Kunden geht
Anforderungen: Abgeschlossenes Studium der Mathematik, Wirtschaftsmathematik oder der Betriebswirtschaft mit Schwerpunkt Mathematik oder Business Analytics; Idealerweise vier bis sieben Jahre Berufserfahrung in einem vergleichbaren Umfeld bei einer Beratungsgesellschaft oder in einer entsprechenden Position in einem Versicherungs- oder Finanzdienstleistungsunternehmen; Kenntnisse der regulatorischen Anforderung und ihrer Umsetzung; Qualifikation zum Aktuar (DAV oder vergleichbar); Verhandlungssichere Englischkenntnisse und Bereitschaft zu einer projektbezogenen Reisetätigkeit

Aufgaben: Lead a team that is trying to redefine personalized preventive and regenerative medicine; Apply cutting-edge machine learning, data science and biostatistical techniques to detect human age-related diseases as early as possible; Use your creativity to solve challenging problems
Anforderungen: We're hiring a Senior Data Scientist with expertise in machine learning and predictive statistics (analytics and modeling). Because you will be working with medical and biological datasets, some background in biomedical sciences is ideal. A deep background in Bayesian methods is highly desirable, as is fluency in R.‍

Aufgaben: At Moffitt Cancer Center, we come face-to-face with cancer every day, but we also see courage. And it inspires us to be the safest and best place for cancer care; to bring greater hope to every patient we serve
Anforderungen: 5 years of experience with Master's Degree or 2 years of experience with PhD in bioinformatics with prior experience in the processing and analysis of next generation DNA sequencing, microarray, comparative genomics, or other high-volume genomics data is required

Aufgaben: The fellow would be expected to engage in both teaching and research, and to participate in the pedagogical mission of the school. The fellow will be located within the office of the Institute, and will be provided with the necessary logistics to conduct his/her work. The teaching load will be limited to courses of expertise, and the salary would be commensurate with the teaching load and the qualifications
Anforderungen: PhD in urban planning, environmental studies, or any closely related field. Alternatively, candidates with a Master degree in urban planning or environmental studies with evidence of research activity potentially leading to significant publications will also be considered

Aufgaben: Disciplines: Electrical Engg: (RF & Wireless Communication, Embedded Sys Design); Mechanical Engg: (Dynamics & Controls, Automotive Technology); Computer Engg: (Deep Learning, Quantum Computing ); Mechatronics Engineering/Elec Engg: (Mechatronics/System Modelling and Control), Engineering Mgmt: Engg Mgmt, Manufacturing Mgmt, Industrial Engg, System Engg, Project Mgmt, Innovation Mgmt, Data Science/Analytics, Industry 4.0, Mgmt Sciences; Mathematics: cryptography, Data Science, Financial Mathematics, Optimization; Islamic Studies: Islamiyat
Anforderungen: PhD in below mentioned fields from an HEC recognized Institution; 15 years teaching/research experience (including 5 years mandatory teaching experience at university or a postgraduate institution) in HEC recognized university/postgraduate institution or professional experience in the relevant field in a national or international organization. Also 15 years of total experience should include 8 years post PhD experience

Aufgaben: Shaping research directions and producing results. Topics include but are not limited to: Crop classification from high resolution satellite images; Vision Transformer (ViT) architectures on Remote Sensing imagery; Attention mechanisms for satellite image representation learning; Disseminating results through scientific publications; Conducting full scale experiments, including real-time implementation, data processing, training, and validation; Using HPC facilities for training large deep learning models; Implementing scalable deep learning solutions for Remote Sensing applications; Providing support in setting up and running experiments on large scale datasets
Anforderungen: A PhD degree in Electrical Engineering, Computer Science, Applied Mathematics or a related field; Competitive research record in Computer Vision and Remote Sensing; Broad experience with machine learning algorithms and deep learning concepts

Aufgaben: The junior group in Imaging AI develops applied AI research focused on biomedical signal analysis and medical image computing. The general aim of the group is translating bleeding edge algorithms from fundamental AI and imaging research closer to a concrete biomedical application
Anforderungen: Master’s degree in computer science or related discipline; Strong interest in applied machine learning, including but not limited to deep learning; Strong interest in image analysis/computer vision and pattern recognition, including but not limited to biomedical applications, in particular for neuroscience; Experience utilising GPU enabled High-Performance Computing environments is an asset; Experience with recent deep learning frameworks (e.g. Pytorch, MONAI) and programming languages (Python, MATLAB) are an advantage