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partners at Princeton and Chicago Present findings at international conferences and co-author publications in high-impact journals Qualifications Master's degree in Physics/Physical Chemistry with excellent
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, their achievements and productivity to the success of the whole institution. At the Faculty of Electrical and Computer Engineering, Institute of Fundamentals of Electrical Engineering, the Chair of Biomedical
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, their achievements and productivity to the success of the whole institution. At the Faculty of Computer Science, Institute of Artificial Intelligence, the Chair of Machine Learning for Robotics offers a full-time
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of the areas number theory, geometry, non-commutative geometry, topology, analysis of partial differential equations, mathematical physics Language proficiency in English or German These posts are designed
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processed in accordance with the selection process.
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to reason about software (e.g., LLM agents for finding and fixing bugs) Static and dynamic program analysis (e.g., to infer specifications) Test input generation (e.g., to compare the behavior of old and new
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interdisciplinary collaboration. We are seeking highly motivated doctoral researchers with a M.Sc., or equivalent, in materials science, chemistry, mechanical engineering, physics, mathematics, or electrical
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Description The group “Physics of molecular and biological materials” at the University of Tübingen is searching for a PhD student / doctoral candidate in Physics (m/f/d, E13 TV-L, 50-75
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biochemical techniques to study details of antigen recognition and effector functions of autoantibodies Engage in data analysis and collaborate with computational scientists. Your qualifications: MSc
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of single-molecule microscopy data in collaboration with theorists from other institutions YOUR PROFILE You should have obtained (or be about to obtain) a Master‘s degree (or equivalent) in Physics, Physical