126 computer-science-quantum-"https:"-"https:"-"https:"-"https:"-"https:" positions at Technical University of Munich
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cells to interact with their environment. We use an interdisciplinary approach from protein biochemistry to cell biology to analyze the machinery and mechanisms that monitor cellular protein biogenesis
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Informatics, specifically for a DFG project in wind power forecasting using machine learning. You are passionate about applying cutting-edge information technology to solve the energy and climate crisis and
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on the nanoscale (previous works e.g.: https://www.nature.com/articles/s41563-019-0555-5). You will also supervise one PhD student who will work on a complementary topic guaranteeing quick output and an ideal
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22.12.2025, Academic staff We are an interdisciplinary team at the Chair of Safety, Performance and Reliability for Learning Systems, and we are looking for exceptional postdoctoral researchers to join our team. The postdoctoral positions will be full-time (100%, TV-L E13). We are committed to...
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06.09.2021, Academic staff The Institute for Communications Engineering is currently offering seven positions for PhD or postdoctoral candidates for the project "6G-life" which is funded by
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use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission analysis, and infrared thermography. Industry
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grades) in a relevant field such as management, entrepreneurship, economics, (organizational) psychology, finance, or business informatics, • ideally has academic or practical experience in the field
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Engineering, Electrical Engineering, or a closely related field Proven research experience and publication track record in robotic manipulation, deformable object handling, or related domains Hands
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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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cancer. The job The technology of photoswitching-optoacoustics bears massive promise to visualize small cell populations and their functionality without background deep in the live animal (see Stiel, Nat