Aufgaben: Simulation, and prototyping of models for the design of antennas for micro and millimeter-wave applications; Analyzing, designing, and prototyping phased array antennas for micro and millimeter-wave applications; Applying different additive manufacturing techniques for antenna prototyping; Measurement of antenna parameters; Disseminating results through scientific publications and conferences; The candidate is expected to actively contribute to the different research projects at SnT, either coordinating technical contributions and/or preparing project deliverables; Preparing new research proposals to attract industrial, national, and European projects; Providing assistance for Ph.D. students
Anforderungen: Master (or equivalent) in Telecommunication Engineering or Electrical Engineering focused on antenna design and their implementation using additive manufacturing techniques. The topic of antennas and metasurface design for satellite systems is desired but not mandatory; Sound publication track record in relevant international conferences and top journals in the following research areas; Experience with machine learning and artificial intelligence is highly desirable; Strong design skills in CST Microwave Studio, Advance Design System (ADS), and High-Frequency Simulations Software (HFSS) design tools are mandatory; Experience in MEEP programming is desirable but not mandatory; Strong programming skills in MATLAB. Python, JULIA, and C++ are desirable but not mandatory

Aufgaben: The objective of this project is to develop automated means to continuously monitor the performance of AI models (including NLP models) developed by BGL BNP Paribas and to determine when and how to retrain these models in order to improve their performance. Achieving these objectives requires addressing crucial research challenges such as the definition of proper quality metrics across the bank’s use cases, the identification and explaination of the limitations and blanks spots of the models, and the design of sustainable improvement mechanisms. Overall, the project supports BGL BNP Paribas in scaling-up their AI and data science activities through ground-breaking research, thereby enabling the widespread dissemination of AI products and services throughout the bank. The project is held in close collaboration with BGL-BNP Paribas and, as the successful candidate, you will be expected to program prototype tools showcasing the practical benefits of your research outcomes
Anforderungen: The candidate should possess an PhD degree (or equivalent) in computer science with strong skills in software engineering, programming, and artificial intelligence, as well as good knowledge of computer science in general. The ideal candidate should have some knowledge and/or experience in most of the following topics: Programming (Python is a must, Java is an asset) Data science, data engineering, data collection and storage Artificial intelligence, machine learning Natural Language Processing is a plus (but not mandatory)

Aufgaben: We seek a highly motivated bioinformatician or biostatistician who is well versed in the statistical and machine learning analysis of biomedical data and bioscientific programming for a project on the study of neurodegenerative diseases. The candidate should have experience in the analysis of large-scale biomedical data (omics, clinical, imaging, or other large biological datasets), using statistical methods, pathway/network analysis or machine learning/artificial intelligence. The candidate will conduct integrative analyses of biomedical datasets, focusing on omics and clinical data to predict clinical outcomes of interest (e.g., disease progression scores). This will include implementing and applying software analysis pipelines and interpreting disease-related data together with experimental and clinical collaborators. Classification models guided by prior mechanistic knowledge will be built, exploiting the known grouping structures among features in the omics data, using dedicated s...
Anforderungen: The candidate will have an MSc or equivalent degree in bioinformatics, biostatistics, machine learning, computational biology, or related subject areas; Prior experience in large-scale data processing and statistics/machine learning is required; Previous work and publications in bioinformatics or biostatistics analysis of large-scale biomedical data (e.g., omics, clinical, imaging, other biomedical data) should be outlined in the CV; Demonstrated skills and knowledge in omics data analysis, machine learning, pathway and network analysis are highly advantageous; The candidate should have a cross-disciplinary aptitude, strong organizational and interpersonal skills, and a keen interest in collaborative biomedical research; Fluency in oral and written English

Pensum: 80-100%
Aufgaben: Betrieb und Weiterentwicklung von PowerShell-basierten Workflows, Automatismen und Systemschnittstellen sowie des zentralen IT Service Portals und Personendatenverwaltungssystems basierend auf dem Microsoft System Center Service Manager (SCSM) und Operaio ITSP Web Frontend; Mitarbeit in Projekten durch Konzeption und Implementation neuer Lösungen zur Optimierung des Automatisierungsgrades; Administration von Cloud Services (Microsoft Azure, etc.) und Pflege systemübergreifender automatisierter Schnittstellen
Anforderungen: Informatikausbildung auf Niveau EFZ Informatik/Technische Ausbildung mit entsprechender Weiterbildung; Gute PowerShell Kenntnisse; Kenntnisse in XML, HTML/XHTML von Vorteil; Erfahrung mit den Microsoft Systemcenter Produktpalette (SCSM, SCORCH, MECM/SCCM) sowie Windows Systemadministration; Erfahrung mit dem ITIL V3/V4 Framework sind wünschenswert; Sehr gute Deutsch und Englisch Kenntnisse in Wort und Schrift; Französisch Kenntnisse sind von Vorteil

Aufgaben: Attività di ricerca applicata nel campo delle applicazioni di salute di precisione abilitate dall'IA, utilizzando vari algoritmi per consentire il riutilizzo dei dati sanitari esistenti e di altri dati sanitari a supporto della ricerca clinica e dell'assistenza clinica; Applicazioni di IA responsabile di algoritmi di apprendimento automatico superficiale e profondo in ambito sanitario; Scrivere articoli scientifici per riviste e atti di conferenze, documenti di progetto e relazioni interne; Presentare i risultati della ricerca a un vasto pubblico, tra cui conferenze, workshop e riunioni di revisione dei progetti; Partecipare all'insegnamento e al tutoraggio degli studenti
Anforderungen: Laurea magistrale in informatica, scienza dei dati, informatica medica, ingegneria del software o campi correlati, già conseguita o in fase di completamento; Esperienza nell'apprendimento automatico superficiale e profondo; Forte motivazione e impegno nella ricerca e nella pubblicazione in conferenze e riviste di alto livello; Forti capacità di programmazione, con familiarità con Python (o Java); Conoscenza dell'inglese scritto e parlato; Buone capacità organizzative, capacità di lavorare in modo indipendente e proattivo

Aufgaben: The research program in the lab focuses on developing computational methodologies and designing integrative data science approaches to study chromatin epigenomics and gene regulation. Current ongoing projects include: multi-omics integration-based algorithm development for transcriptional regulation prediction; model-based algorithm development for single-cell epigenomics and spatial multi-omics data analysis; statistical and computational modeling of phase-separated transcriptional condensation; global epigenetic and transcriptional regulation in T-cell immunity and various human cancer systems, etc
Anforderungen: A Ph.D. or equivalent degree in any quantitative science, including but not limited to Bioinformatics, Computational Biology, Applied Mathematics, Statistics, Physics, Chemistry, Computer Science; Proficient in Python (or C/C++) & R programming; Strong quantitative background (e.g., statistical modeling, machine learning, computational or theoretical physics, etc.) or computational genomics experience (e.g., high-throughput sequencing data analysis, etc.)

Aufgaben: As a Senior ML/NLP Engineer, you will collaborate with a team of 3-4 brilliant and curious people. You will play a key part in enhancing our Natural Language Processing technology ecosystem and get to partner with product, engineering and design to bring new product features to life. You, along with your team, will get to put your stamp on an evolving ML roadmap that will increase value for our Enterprise level customers and their internal users
Anforderungen: BA/BS in a field emphasizing mathematics and/or science research. MA/MS/PhD preferred; 6+ years of experience using machine learning software and relevant programming languages, such as Python, PyTorch, Pandas and Numpy; 6+ years of relevant work experience in natural language processing and machine learning, with 2+ years of experience with training and deploying large language models; 6+ years of relevant work experience with databases, such as SQL and NoSQL

Aufgaben: Work directly with the business to understand their business processes and aims, then identify how analytical solutions could help deliver value for them. This would include being accountable for: Executing specific use cases generated by your manager; Identifying data elements needed and where to get them (including proxies); Assembling data sets independently using knowledge of Highmark operational and analytic data structures; Deliver the analytical solution to a specific business problem
Anforderungen: Master's Degree in Analytics, Mathematics, Physics, Computer and Information Science, Engineering or closely related field

Aufgaben: Data Analysis: data gathering, analysis, and effective communication of presentations and recommendations to multiple levels of stakeholders. You’ll be responsible for creating custom visual displays of quantitative information through writing queries, and scripts, and developing automated reports and dashboards to provide insights at scale; Data validation: verifying the data we obtain from ad exchanges and mobile-app tracking solutions to confirm our campaign models are trained with the most accurate engagement data; Campaign optimization: engaging in the life cycle of campaigns, from monitoring daily performance to partnering with sales teams on bespoke analysis for clients; Business Collaboration: collaborate with key stakeholders to help Moloco focus on decisions that improve our products and servi
Anforderungen: Master's degree or equivalent practical experience; 5+ years of experience working with statistical packages (e.g., Python, SQL); Statistics: must have strong knowledge and experience in experimental design, hypothesis testing, and various statistical analyses such as regression or time-series analysis; Programming: experience in Python and SQL is required

Aufgaben: This job is responsible for collaborating with leaders to understand their business objectives and challenges and providing expert guidance on the integration of artificial intelligence. This individual conducts assessments of systems, data, infrastructure, and business processes to identify opportunities for AI products and services. The incumbent collaborates across vendor partners, internal data scientists, data, and infrastructure to facilitate requirements gathering for AI product and service proof of concept design and advises on the implementation plan. The AI Consultant serves as an expert in change management, facilitating interventions to prepare for user readiness and adoption and supports business project teams on tactical implementation to ensure optimal value creation
Anforderungen: Bachelor’s degree in business, information technology, computer science, data science, or related field; 5 years of experience in management consulting or strategy; Strong understanding of AI technologies, including generative AI, machine learning, deep learning, natural language processing, and computer vision

Aufgaben: Under the supervision of the PI, conducts advanced analysis requiring programming in Stata, SAS, R, Python, or other relevant statistical software package. Analysis may include but is not limited to survival analysis, case‐control analyses, cohort analyses, etc; Performs bioinformatic data quality control prior to analysis implementation; Determines appropriate statistical methods to achieve project aims; Collects and manages survey, insurance claims, and clinical data. Develops custom databases with oversight from the PI; Collects big data from multiple resources and determining appropriate merging procedures with existing analytic data
Anforderungen: Master’s degree in health services research, health policy, economics, quantitative psychology, epidemiology, biostatistics, bioinformatics, computer science, computational biology or related field with 2 years of relevant experience with bioinformatic packages is required; Completion of an intense data boot camp is equivalent to 1 year of experience; Experience programming in Stata, R, Python, SAS or some other statistical software required

Aufgaben: Work effectively in cross-functional teams and provide computational biology expertise to advance drug discovery for neuroinflammation and neurodegeneration; Analyze and integrate multi-omics data to identify novel therapeutic targets, review and validate therapeutic hypotheses, better understand disease mechanisms and causal pathways, and inform translational medicine strategies; Apply machine learning to the rich multi-level data (genetics, multi-omics, neuroimaging, fluid biomarkers, and clinical data) for target discovery, indication prioritization, and biomarker development
Anforderungen: Ph.D. in Computational Biology, Neuroscience, Statistics, Computer Science, or a related discipline; 5+ years of relevant research experience in applying advanced computational biology to solving biomedical problems; Extensive experience in analyzing multi-omics data (e.g., genetics, bulk RNA-seq, single-cell RNA-seq, spatial omics, proteomics, etc.) for biomedical research; Strong background and knowledge in human biology and/or medicine, especially neuroscience and related diseases

Aufgaben: Develop and implement scalable and efficient models on large-scale datasets to address various business problems through using sophisticated computer vision, machine learning techniques; Solve challenging Data Science problems such as online learning, reinforcement learning etc. when solving business problems in digital marketing; Collaborate with product management and engineering groups to develop new products and features
Anforderungen: PhD or MS degree in Computer Science or a related technical field, with a focus on computer vision and/or machine learning; Expertise in deep neural networks, vector graphics, image processing, computer vision; A strong personal research track record including peer-reviewed publications in top computer vision, graphics, and machine learning venues; Strong Python and deep learning development skills and experience with one or more training or deployment environments (PyTorch, Tensorflow)

Aufgaben: We're looking for a creative, collaborative, and highly motivated bioinformatics scientist to join our biology R&D team to work on exciting advanced biology research projects for the U.S. Government. The candidate will work with a team of about 10 people, and will contribute to multi-year, interdisciplinary programs that bring together teams in biology, engineering, and data science to develop and transition new biotechnology solutions in support of national security
Anforderungen: A Ph.D. in Bioinformatics, Computational Biology, Data Science or a related field; Experience in scientific publications and proposal writing; Biostatistics experience, experience using biostatistics tools in MATLAB or R

Aufgaben: Concevoir, développer, construire et maintenir des pipelines de conception de peptides, en se concentrant sur les aspects structurels et conformationnels (mais pas uniquement); Maintenir une veille scientifique et technique et se tenir au courant de l'état de l'art dans les domaines de la prédiction de la structure des protéines et de la conception de peptides et de protéines, tant du point de vue de la recherche mondiale que du point de vue industriel; Effectuer des analyses structurelles de systèmes d'intérêt (détection de poches, analyse détaillée des interfaces protéine/protéine, de la pose d'amarrage, etc.); en nouant des contacts avec d'autres entreprises de conception de peptides et de protéines en vue de développer des partenariats ou de mener des projets conjoints
Anforderungen: Doctorat en chimie computationnelle, en modélisation moléculaire, en biologie structurale, en apprentissage automatique ou dans un domaine connexe, avec un solide bagage théorique démontré par des contributions à des revues de premier plan; ou une combinaison équivalente d'études et d'expérience; Expérience pratique de la conception, de la formation ou de l'utilisation d'outils modernes d'apprentissage profond pour la prédiction de la structure des protéines, la modélisation des protéines ou la conception des protéines (par exemple AlphaFold, ProteinMPNN, outils Rosetta, etc.)

Aufgaben: Develop and optimize analysis workflows to analyze NGS data, including both whole genome sequencing (WGS/WES), targeted sequencing, and bulk/single cell RNA Seq; Develop novel Bioinformatics methods to answer platform and biological questions, and demonstrate validity of methods through prototypes and benchmarking using appropriate controls; Work with other computational biologists and computational engineers to deliver and optimize production-level pipelines; Proper documentation of code, workflows, and analyses including study reports for nonclinical and clinical studies and regulatory filings; Communicate to a broad audience with a range of technical, analytical, and biological expertise and present results on a regular basis at various group meetings
Anforderungen: PhD in computational biology, bioinformatics, genetics, or related discipline with 5+ years of industry experience (or MSc with 8+ years of industry experience); Strong scientific background including an understanding of molecular biology and genomics; Familiarity with NGS platforms and hands-on experience with all steps for analyzing NGS data; Demonstrated proficiency in script languages such as Python and familiarity with a compiled language such as C/C++ or Java

Aufgaben: Data Analysis and Research: analyzing a large dataset with queries and scripts, extracting valuable signals from noise, and producing actionable insights into how we could complete and improve Moloco’s complex ML and bidding system; Simulation and Modeling: validating and quantifying the efficiency and performance gain from hypotheses through rigorous simulation and modeling; Experimentation and Causal Inference: developing a robust experiment design and metric framework and providing reliable and unbiased insights for product and business decision-making
Anforderungen: Bachelor’s degree in a quantitative discipline (e.g., Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering); 3+ years of work experience in data science-related fields or an advanced degree such as a Master’s or Ph.D. in a quantitative discipline with 2+ years of experience; Distinctive problem-solving skills, good at articulating product questions, pulling data from large datasets, and using statistics to arrive at a recommendation

Aufgaben: The Data Scientist is responsible for the development, validation, and continuous improvement of models that accurately characterize the performance of First Solar photovoltaic products and systems. He/she will achieve results through leadership of cross-functional teams to identify research needs, develop and execute analysis and test plans, and ensure quality of data collection, analysis and reporting
Anforderungen: Bachelor’s degree in data science, Computer science, Electrical Engineering, Applied Statistics, or Physics with 4+ years of relevant work experience in Data Science, Artificial Intelligence or Machine Learning algorithm development, ideally in Photovoltaics, Power Engineering, or other renewable energy field; Proficient with programming languages (Python, Matlab, R, or similar), relational databases (SQL server), data analysis and visualization software's (preferably jmp, Tableau, SAS)

Aufgaben: Conduct innovative research & development in audio including speech, music, and sound design (SFX) Generative AI; Collaborate with extraordinary researchers to bring research ideas to production; Develop and transfer novel technologies to Adobe products; Research and develop novel large-scale foundation models in Generative AI; Ability to convert a research idea/paper to code in Python
Anforderungen: Masters or Ph.D. in Computer Science, AI/ML or related fields; Excellent communication skills and a great teammate; Experience in state-of-the-art Generative AI technologies, such as GANs, diffusion, and/or language models; Audio, music, speech, sound design, and/or video signal processing expertise; Experience with large-scale generative model training, datasets, and infrastructure

Aufgaben: You will be part of a flexible high-performance team that can adapt to world events and provide AI, ML, and other analytic capabilities to support the development of new architectures as well as previously deployed systems
Anforderungen: Demonstrated experience creating AI and ML models and natural language processing (NLP) models; Demonstrated experience building statistical models and performing predictive analytics

Aufgaben: Manifold learning is a crucial concept in the fields of machine learning and pattern recognition, because it enables the discovery and representation of underlying structures and patterns in high-dimensional data. In real-world scenarios, datasets often exhibit intricate manifold structures and the pursuit of capturing these complex geometries within the data has proven to be a challenging task for many traditional manifold learning algorithms. While it may not always be possible to fully learn the underlying manifold, it is often possible to learn some characteristics of the manifolds. One such characteristic is the Reeb graph, a topological construct that reflects the change of level sets of a real-valued filter function on a manifold
Anforderungen: Applicants must hold a Norwegian PhD or an equivalent degree machine learning or a related area; Applicants should have a genuine interest in AI, and the research proposal must be related to artificial intelligence

Aufgaben: The Data Analytics and Information Systems (DAIS) Department in the Jon M. Huntsman School of Business at Utah State University invites applications for a tenure track faculty position at the Assistant Professor level to support and strengthen our programs in marketing analytics, including Bayesian statistical modeling, causal inference, survey research, conjoint, and text analysis
Anforderungen: PhD in Quantitative Marketing, Statistics, Economics, Data Science, or a related field; Three years or more of research and teaching in marketing analytics; Background and experience in marketing analytics, specifically Bayesian statistical modeling, causal inference, survey research, conjoint, and text analysis; Highly effective communications skills, including listening, writing, and speaking; Demonstration of collegiality among peers and constituents

Aufgaben: Development of superconducting quantum computing systems
Anforderungen: Candidates should possess or is expected to obtain a doctoral degree by the starting date

Aufgaben: Sie erstellen domänenspezifische Sprachen (DSL) mit JetBrains MPS; Dabei entwickeln Sie Generatoren, welche mathematische Formeln in Java-Code umwandeln; Aus Ihren Ideen erarbeiten Sie Konzepte zur Erweiterung der bestehenden DSLs; Die Entwicklung begleiten Sie vom Build-Prozess bis hin zur Sicherstellung der Qualität durch Entwickler-Tests und die abschliessende Integration des generierten Codes; Sie arbeiten dazu in einem agilen, cross-funktionalen Scrum-Team
Anforderungen: Sie haben ein Studium der Informatik (oder eine vergleichbare akademische Ausbildung) abgeschlossen oder bereits erste Erfahrungen im Bereich Softwareentwicklung mit Java sammeln können; Idealerweise haben Sie bereits mit JetBrains MPS gearbeitet oder bringen die Bereitschaft für die Einarbeitung in diese Technologie mit; Sie besitzen praktische Erfahrungen in der Software-Entwicklung und haben gute Kenntnisse in Java

Aufgaben: The Vice Chair for Clinical Machine Learning (VC - CML) develops and operationalizes Moffitt’s strategic roadmap for the utilization of Artificial Intelligence/Machine Learning (AI/ML) in clinical settings, including the assessment and prioritization of commercial products and research prototypes of developed machine learning algorithms for oncology (e.g., EHR, radiology, pathology, clinical trials, or radiation oncology). The VC-CML also assists the Chair of Machine Learning with academic leadership activities (e.g., recruitment, mentoring, retention, budgeting, strategic planning)
Anforderungen: PhD and/or MD with expertise in the application of AI/ML to clinical workflows and processes; Technical AI/ML knowledge and skills ideally obtained through formal training in AI and ML, with demonstrated track record in the field; Experience optimizing clinical workflow and/or implementing clinical decision support tools that leverage AI/ML; documented examples of significant work in this area is preferred; Excellent interpersonal communication skills; ability to build team consensus with diverse groups of stakeholders; leads through positive influence; Experience obtaining NIH-grants funding as an independent PI