1,126 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation" positions in Germany
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• Completed PhD in archaeology, archaeozoology, or archaeological science Desirable: • Experience in at least one of the following areas: archaeozoology, stable isotope analysis or dental microwear • Preferably
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27.09.2023, Academic staff The Holzforschung München of the Technische Universität München with the professorships for "Wood Science", "Wood Technology" and "Fungal Biotechnology in Wood Science
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Max Planck Institute for Solid State Research, Stuttgart | Stuttgart, Baden W rttemberg | Germany | 2 months ago
Job Code: 03.26 Job Offer from January 10, 2026 Student Assistant (holding a Bachelor’s degree) - Aberration-Corrected Lithography for Nanoscale Patterning We offer a Student Assistant position at the Max Planck Institute for Solid State Research. The research will be conducted at the Stuttgart...
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engineering, chemistry, mechanical engineering, or related field. You have expierience working in chemical laboratories. You are confident working independently and you are a good communicator. You are computer
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science) Project management experience and good self-management Interest to work on a collaborative project with international partners and direct links to policymakers Excitement to work in an
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for the master thesis project "Centriole duplication" at the Center of Molecular Biology and Center of Organismic Studies, Heidelberg University, Germany, Groups of Drs. G. Pereira, S. Pfeffer and E
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studying mechanical engineering, computer science, industrial engineering or a comparable subject Experience in the field of machine learning is an advantage A high degree of initiative and team spirit Very
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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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available in the further tabs (e.g. “Application requirements”). Objective This scholarship programme is designed for students, graduates and doctoral candidates. It aims to help them improve their knowledge
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and interpret the results of your test campaigns. Document and present your results within the team. What you contribute You are studying engineering or a comparable discipline. You contribute