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-four years for a PhD student, and two years for a postdoctoral position. We offer a diverse work environment in an international team, with lots of interesting projects and opportunities to collaborate
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Deadline 14 Aug 2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Oct 2026 Is the job funded through the EU Research Framework Programme
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exchange with industrial and scientific partners during the project, Co-supervision of PhD candidates and Master’s and Bachelor’s students on projects related to 6G-Life, Funding acquisition and management
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available in the further tabs (e.g. “Application requirements”). Objective The programme “Future Network Weimar Triangle: Science for Europe” aims to expand the political initiative “Weimar Triangle
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group A14, 100% Lateral leadership of a dynamic and committed team of approx. 10 PhD students Fixed-term full-time position for 3 years with option to extend Innovative research area with high societal
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At IET-1, we are studying the electrolysis of CO2 for the sustainable conversion of green energy into chemical energy carriers in order to defossilize the chemical industry. The process control and optimization of electrolysis from the cell to the stack requires automated monitoring, analysis,...
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applicant has a strong background in computational biophysics, as well as data analysis and solid English-language skills. Previous experience in modeling G protein-coupled receptors or membrane proteins is
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of medicine and computer science at TUM, as well as the Munich Center for Machine Learning (MCML). It is a great place for interdisciplinary research between medicine and data science. We are looking for a Post
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of the environment shape this process. Working across disciplines such as psychology, neuroscience, computer science, economics, and sociology, we do research within a context that fosters academic freedom, curiosity
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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 modeling and probabilistic machine learning, tackling problems that arise in molecular systems...