24 computer-science-programming-languages Postdoctoral positions at Technical University of Munich
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, statistics, and programming languages such as R, Matlab, or Python are highly desirable. Requirements: Candidates should have completed (or be completing) a doctoral degree in psychology or cognitive science
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mathematics, physics). For Postdoc applicants: Excellent track record in engineering or computer science. Fluency in spoken and written English is required. Proficient in at least one programming language, e.g
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: PhD in CS/ML/medical informatics, strong publication record, and hands-on experience with generative models in medical imaging. Postdoctoral Research Associate (f/m/d) EU Research Project TWIN-X Full
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-Tracking, and their responsible applications. Ideal candidates will have: An M.Sc. degree (or equivalent) in Computer Science, Game Engineering, Mathematics, Statistics, or related fields. Strong programming
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Informatics Initiative (MII)/FHIR standards Design and implement methodological concepts and software for benchmarking frameworks for AI evaluation Independently develop and implement research ideas within
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research program focused on developing next‑generation multimodal imaging systems spanning the mesoscopic to microscopic scale. As part of a major research project and supported by extensive national and
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Equations Requirements: - Master’s / PhD degree in physics, mathematics, computer science, meteorology, or a related field - Excellent skills and strong background in programming (Python and Julia
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have the following: • Ph.D. in electrical engineering, physics, computational science, medical technology, biomedical computing, natural sciences, or a related discipline. • Excellent track record
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combines cutting-edge computational techniques with traditional social science methods and we are equally interested in methodological innovation and in the broader consequences of automation for democratic
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independent and creative research; Solid programming experience in C++ and/or Python, and familiarity with modern robot learning frameworks; Proven expertise in one or more of the following areas: robot