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represent stakeholder preferences. The integrated Research Training Group (RTG) will provide doctoral researchers with an attractive qualification program, foster networking, enable internationalization 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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or very good university degree (diploma, master's degree) in transport or related study programs (e.g., civil engineering, industrial engineering, computer science, etc) with a solid foundation in transport
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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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degree in computational engineering, mechanical engineering, computer science, applied mathematics, physics or a similar area very good programming skills in Python good prior experience with neural
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English ) and Chemical synthesis by Professor Martin Weissenborn at MLU ( AG Prof. Weissenborn ) Our Research Training Group BEyond AMphiphilicity – BEAM – combines highly original science and research
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represent stakeholder preferences. The integrated Research Training Group (RTG) will provide doctoral researchers with an attractive qualification program, foster networking, enable internationalization and
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theoretical tools for their description (C). Tasks for project RTG2861-A4 (Principal Investigator: Prof. Dr. Stefan Kaskel, Chair of Inorganic Chemistry I, Research area A): Research topic Microstructured PCL
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: university and, if applicable, PhD degree (e.g. Master/Diploma) in mathematics, physics, materials science or related subjects basic knowledge of computer programming (e.g. Python, Matlab and C++) excellent
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in inorganic synthesis and/or Schlenk-line preparations Experience with scientific programming (e.g., MATLAB, LabView) is advantageous Experience performing quantum chemistry computations (e.g., DFT