208 postdoctoral-image-processing-in-computer-science-"EPIC" positions at Technical University of Munich
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/d) in Energy Informatics. You are passionate about applying cutting-edge information technology to solve the energy and climate crisis and would like to work in a vibrant and international research
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in Applied Mathematics, Computational Science and Engineering (CSE), or related fields with outstanding academic performance Strong programming skills and experience in languages such as C/C++, FORTRAN
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to contribute to groundbreaking work in our research area. About the Program: We are implementing a program that creates an additional two year postdoctoral position exclusively for female researchers working in
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10.05.2024, Wissenschaftliches Personal The Munich Institute of Integrated Materials, Energy and Process Engineering (MEP), based in Garching, is an integrative research center that combines
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of Engineering and Design. Our teaching and research focus lies on computer-based development of engineering products, particularly on the planning and realization of built facilities using computational modeling
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PostDoc (m/w/d) position on “Biological engineering of novel gene reporters for Electron Microscopy”
20.02.2025, Wissenschaftliches Personal Synthetic Biology and Molecular Imaging project on generating “GFP for Electron Microscopy” via genetic- and protein-engineering of EM-visible nanostructures
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processing - Study actin-based processes critical for health and disease using the cryo-ET workflow, from cell sample preparation and optimization to imaging and data analysis - Use computational tools for in
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should bring a particular interest in digital design and manufacturing technology and systems design. Ideally, you have skills in CAD modelling, geometry processing, and programming, as well as prior
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Technology (CIT) and TUM School of Medicine and Health is offering a 2y-4y postdoctoral full-time position in medical machine learning. The Computational Pathology Lab (https://schuefflerlab.org
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the testing of newly devel-oped materials and the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission