96 computer-science-programming-languages-"the"-"FEMTO-ST-institute"-"U" positions at Technical University of Munich
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Qualifications: MSc or PhD in Computer Science, Bioinformatics, Computational Biology, or a related quantitative field. Solid experience in programming and system architecture design (e.g., Python), workflow
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Requirements: Applicants should hold an MSc or Diploma in Engineering, Computer Science or a related discipline. Background in Machine Learning and Artificial Intelligence. Strong programming skills (Python
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04.11.2025, Wissenschaftliches Personal We are looking for a full-time employee to join our team working on the EUROfusion project, starting on January 1, 2026 as Scientific Advisor to the Program
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junior research group leader with a focus on data and AI Science to join us as soon as possible. Your qualifications PhD in Computer Science, Mathematics, Physics or related fields Experience in applied
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mathematics, physics). For Postdoc applicants: Excellent track record in computer science or engineering. Fluency in spoken and written English is required. Proficient in at least one programming language, e.g
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interoperability with Medical Informatics Initiative (MII)/FHIR standards Design and implement methodological concepts and software for benchmarking frameworks for AI evaluation Independently develop and implement
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academic performance. Experience with stochastic methods, risk and reliability analysis, and data analysis. Programming experience in Python, MATLAB, C/C++, or a similar language. Strong analytical
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dedicated qualification program, as well as interdisciplinary collaboration and networking opportunities. We look for • a team player with the ability to work independently with an excellent master's
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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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and computational problem-solving in the Earth sciences at large. Project description: The position is fully funded (TV-L E13, 100%) by the German Research Foundation (DFG ) and the intended research