57 postdoctoral-image-processing-in-computer-science-"Prof" Postdoctoral positions at Technical University of Munich in Germany
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motivated PhD students, interns, and PostDocs at the intersection of computer vision and machine learning. The positions are fully-funded with payments and benefits according to German public service
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Postdoctoral Positions in Applied and Numerical Analysis Technical University of Munich (TUM) Chair of Applied and Numerical Analysis – Prof. Massimo Fornasier The Chair of Applied and Numerical Analysis
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world. About the position We invite applications for a 2-year Postdoctoral Researcher position starting in January 2026, supervised by Dr. Judit Lecina-Diaz and Prof. Rupert Seidl. The successful
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and interest in one of the following fields: • Solid state quantum information science. • Quantum optical properties solid-state systems (e.g. semiconductor quantum dots, colour centers in wice gap
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efficiency 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
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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 science
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03.07.2025, Wissenschaftliches Personal About us The Bienert Lab is part of the TUM School of Life Sciences of the Technical University of Munich located in Freising-Weihenstephan. The main
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of bioelectronics and/or neuroengineering is preferred. What we offer We offer a postdoctoral researcher position as scientific and teaching staff in the NEN Lab in the Electrical Engineering Department, which is
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of computer vision and machine learning. The positions are fully-funded with payments and benefits according to German public service positions (TV-L E13, 100% for PhDs and TV-L E14, 100% for PostDocs; 45k
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field such as computer science, bioinformatics, mathematics, computational life sciences, or related. Profound knowledge in machine learning, preferably deep learning for image data. Experience in