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advanced machine learning methods for multimodal and 3D medical image analysis in musculoskeletal medicine, in close collaboration with clinicians and computer scientists. PhD or Postdoctoral Researcher
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). Application If you are interested in this opportunity, please send your electronic application preferably in one single PDF-document before the deadline of 15.11.2025 to application.nutrim@ls.tum.de. For full
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, Human-Computer Interaction, and their responsible applications. Ideal candidates will have: An M.Sc. degree (or equivalent) in Computer Science, Game Engineering, Mathematics, Statistics, or related
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send us the following documents: A compelling cover letter Current CV Final transcript of records from your most recent academic degree (Bachelor's/Master's/PhD) Name, institution, and email address
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writing. Drive the publication of research results in top-tier robotics conferences and journals. Requirements Ph.D. in Robotics, Mechanical Engineering, Electrical Engineering, Computer Engineering, or a
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“Equilibrium Learning, Uncertainty, and Dynamics.” About the Project Market interaction is increasingly automated by artificial learning agents. Examples include pricing agents in electronic retail or bidding
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attending conferences, workshops, etc. will be available. Applications should be sent as a single PDF file via email to deniz.kus@tum.de with title “Postdoc DATH” and should include • A detailed CV, including
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towards Habilitation qualification. We look forward to receiving your application as a single PDF file until the deadline of 1 September 2025. Please send your application exclusively by email to Prof. Dr
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email to deniz.kus@tum.de with title “Postdoc DATH” and should include • A detailed CV, including a list of publications. • A motivational statement (maximum one page) outlining the applicant’s research
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position (pay group TV-L 13) is initially limited to 2 years. Further employment is possible and intended. Your application: We look forward to receiving your application by July 27, 2025. Please email it as