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                , Engineering and Management, Materials Technology, Materials Sciences, Nanosciences, Nanotechnology Description Description Join a multidisciplinary research environment at Forschungszentrum Jülich to develop 
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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 the country. In research and academic programs 
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                of science, education, culture, economics, society, technology and the environment. The school of Mechanical Engineering and Safety Engineering, Chair of Materials Science and Additive Manufacturing (head 
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                identified, it remains elusive how infection by RNA phages remodels cellular protein complexes at the global level. Responsibilities: The doctoral student will employ global biochemical and high-throughput 
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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 the country. TUD has established the Collaborative 
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                Generate synthetic microstructures (based on the open-source OptiMic software) Perform descriptor extraction and micromechanical simulations (MCRpy, DAMASK) Vary the material processing parameters, which 
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                Generate synthetic microstructures (based on the open-source OptiMic software) Perform descriptor extraction and micromechanical simulations (MCRpy, DAMASK) Vary the material processing parameters, which 
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                of Computer Science is part of the TUM School of Computation, Information and Technology (CIT). **Employment Conditions** • Start date: Flexible, from January 2026 onward • Salary: Based on the German public sector pay 
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                access to a broad academic network. The program is ideal for highly qualified and socially engaged junior scholars with a global outlook. For further information, see:h ttps://www.bgsmcs.fu-berlin.de 
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                Python, Julia or C++ Knowledge of modern deep learning frameworks (e.g. pyTorch) Knowledge of collaborative software development tools (e.g. Version control: Git) Experience working in Linux shell/cluster