55 computational-physics-superconductor Postdoctoral positions at Technical University of Munich
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: Excellent Master’s degree (or equivalent) in computer science, engineering, or related disciplines (typically mathematics, physics). For Postdoc applicants: Excellent track record in computer
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following areas: Mathematical Analysis/ Numerical Analysis/ Theoretical Machine Learning Please note: Applications from candidates with degrees in other disciplines (e.g., Computer Science, Engineering) will
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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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dissect these mechanisms, as they reca-pitulate key aspects of embryonic development and tissue morphogenesis in vitro. The group of Prof. Bausch investigates the physical principles underlying
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technologies to fundamental physics questions. The advertised positions will be part of the project “QS-Gauge: quantum simulation of lattice gauge theories”, funded by the Emmy Noether programme of the DFG
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] Subject Area: Representation Theory Appl Deadline: 2025/07/31 11:59PM (posted 2025/07/01) Position Description: 2025/09/30 11:59PM Position Description The TUM School of Computation, Information and Technology
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of Orthopaedics and Sports Orthopaedics and the Institute for AI and Informatics in Medicine. We work at the intersection of artificial intelligence, medical imaging, and clinical practice, developing methods
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for 3 - 6 years, with the option to enter the habilitation program in the format of 3 + 3 years. The salary will be determined according to the German collective wage agreement in public service (TV-L 13
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, and computation Excellent communication skills in spoken and written English Our offer Remuneration and benefits in accordance with the collective agreement for the public service (TV-L E13
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energy efficiency while keeping the grid reliable and secure. Our research method is engineering-oriented, prototype-driven, and highly interdisciplinary. Our typical research process includes