140 assistant-professor-computer-science-"https:"-"https:"-"https:"-"https:"-"https:" positions at Technical University of Munich in Germany
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imaging. Your Profile: The successful applicant must have the following: • Master’s degree in physics, biophysics, biomedical engineering, computer engineering or electrical engineering. • Excellent track
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learning, medical image computing, biomedical engineering, medical physics, or related field Strong Python and PyTorch experience Solid publication record and ability to communicate research results
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. Your Profile: The successful applicant must have the following: • M.Sc. in natural sciences, electrical engineering, physics, optics, medical technology, biomedical computing, or a related discipline
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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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18.01.2023, Academic staff For our team we are looking for a Research Assistent (100%-position) in the EU-Life Project GeoBOOST (m,w,d) at the Chair of Hydrogeology TU Munich. Your task will be
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14.08.2023, Academic staff The Chair Group of Production and Resource Economics at the TUM School of Life Sciences Weihenstephan and the TUM School of Management offers two positions as Ph.D. Junior
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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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of Computation, Information and Technology. You will help us to prepare teaching material, serve as teaching assistant in our lectures, support lab courses, and supervise student research. Your profile: Above
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02.02.2026, Academic staff The newly established research group in Particle and Fiber Technology for bio-based Materials, led by Prof. Dr. Wenwen Fang, is seeking a highly motivated PhD in
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scientist with a focus on data and AI Science to join us as soon as possible. Your qualifications PhD in Computer Science, Mathematics, Physics or related field Experience in applied data science and machine