10 Physics-"https:"-"https:" Postdoctoral research jobs at Technical University of Munich
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10.06.2026, Academic staff A post-doctoral position is available in Physics-informed Generative Modeling and Multiscale Learning. The successful candidate will work at the interface of physics-based
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/active-fellows/senge-mathias/ https://www.groups.ph.tum.de/e20/startseite/ https://www.groups.ph.tum.de/nanosurfs/home/ Requirements: Ph.D. in chemistry or physics with experience in nanoscale science, a
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unprecedented image quality and quantitative performance. As part of a multidisciplinary team spanning optics, acoustics, electronics, computation, engineering, physics, medicine, and clinical translation, you
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international environment, demonstrates strong problem-solving abilities, and is committed to advancing cutting-edge research. Information about the application process We look forward to receiving your
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methods, enabling precise midIR spectral measurements from blood rich skin layers. Your work will bridge measurement physics and biomarker estimation: you will transform raw optoacoustic signals into robust
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underrepresented groups to apply. The review process is on a rolling basis. Please refer to the “Application Procedure” section for details on how to apply. Current Openings Safety, Performance and Reliability in
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-time commitment with a physical presence at TUM. Teleworking is not permitted. Candidates must reside in Munich or be willing to relocate to Munich. Educational Background/Training: The ideal candidate
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of miniaturized imaging technologies. Your Profile: The successful applicant must have the following: • Ph.D. in natural sciences, electrical engineering, physics, optics, medical technology, biomedical computing
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while keeping the grid reliable and secure. Our research method is engineering-oriented, prototype-driven, and highly interdisciplinary. Our typical research process includes the evaluation of existing
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science, mathematics, physics, or a related field with an outstanding academic record. Interest in mathematical signal processing, optimization, and/or machine learning is important. Since the working language is