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to obtain your own academic qualification as part of a doctorate is given. Your profile: An excellent MSc degree (or equivalent) in biochemistry, chemistry, biology, computational science, bioinformatics
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in Germany. It offers a modern, interdisciplinary, and
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on methods development in machine learning, uncertainty quantification and high performance computing with context of applications from the natural sciences, engineering and beyond. It is embedded in
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the goal of obtaining a doctorate. It is based in the newly established Animal Neurophysiology group (Prof. Münch) at the Institute of Animal Physiology, at the Faculty of Biology and Chemistry. The salary
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model complexes. This research is part of a large, funded collaborative project supported by the Swiss National Science Foundation, involving partner researchers based in Germany, Switzerland, and France
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Description The following position is available immediately in the Experimental Toxicology an ZEBET department of the Federal Institute for Risk Assessment (BfR), subject to the allocation of funds
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in Germany. It offers a modern, interdisciplinary, and
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was established in 2019 with our partner institute, the Nagoya Institute of Technology, Japan, in order to better understand lead-free perovskite materials for photo-electro-mechanical energy conversion systems
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%) in Mathematics for the project “Quantized vortices and nonlinear waves” The CRC has been funded by the German Research Foundation (DFG) since 2015. Its goal is to analytically understand, numerically
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Jun 2025 Financing yes Type of Position Full PhD Working Language English German Required Degree Master Areas of study Automation Technology, Mechatronics, Robotics, Systems Engineering, Applied