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guidelines into formal ontologies and knowledge graphs Design and develop modules for Medical Informatics Initiative (MII)/FHIR interoperability of the research prototype Work closely with clinicians and data
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Risk Analysis Group at TUM and Prof. Maria Pina Limongelli at Politecnico di Milano, offering an excellent international research environment. About us The Engineering Risk Analysis Group at TUM
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at Université de Lille (France). We are looking for candidates with an outstanding Master’s degree (or quivalent) in chemistry, polymer science, or a closely related discipline, with a strong interest in
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area has received best paper awards at PacificVis and Graph Drawing, with recent publications in IEEE Transactions on Visualization and Computer Graphics and Computer Graphics Forum. Environment
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Profile The ideal applicant has a strong background in bioinformatics or computational chemistry, as well as data analysis and solid English-language skills. Experience with programming is highly
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Position at the Behavioral Science for Prevention and Care Team (m/f/d) Anticipated Start Date: February/March 2026 About the Behavioral Science for Prevention and Care Team We are a team of social
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the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission analysis, and infrared thermography
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academic assignments at the chair What we look for in you Completed master’s degree in computer science, transportation, or related engineering fields Solid background in generative AI, machine learning, and
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at the TUM School of Life Sciences PhD studentship (m/f/d): Tree Carbon Allocation to the Rhizosphere and Related Microbial Processes under Severe Drought Join the new EU-funded FutureForests international
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accessible to users from science and industry Your qualifications: ■ Master’s or equivalent graduate degree in computer science, artificial intelligence, machine learning, mathematics, statistics, data science