35 computer-science-image-processing positions at Technical University of Munich in Germany
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15.04.2025, Wissenschaftliches Personal The Lab for Artificial Intelligence in Medical Imaging (www.ai-med.de) is inviting applications for a fully funded PhD position in interpretable machine
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field such as computer science, bioinformatics, mathematics, computational life sciences, or related. Profound knowledge in machine learning, preferably deep learning for image data. Experience in
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13.02.2025, Wissenschaftliches Personal The Professorship of Machine Learning at the Department of Computer Engineering at TUM has open positions for a doctoral researcher (TV-L E13 100%, 3-4 years
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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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/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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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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26.02.2025, Wissenschaftliches Personal We are looking for a postdoctoral researcher (f/m/d) with a PhD in Simulation Technology, Computer Science, Mechanical Engineering, or a related field. About
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have an excellent PhD in one of these areas or related fields (in applied mathematics, computer science, or a related discipline.) The candidate should have an excellent publication record commensurate
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The position is available as soon as possible. We offer thorough training in: - Performing a wide spectrum of molecular, cell biology-related and computational methodologies and techniques, such as primary cell
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(https://soilsystems.net/ ), a Priority Programme (SPP 2322) funded by the Deutsche Forschungsgemeinschaft (DFG; German Research Foundation). Within SoilSystems, scientists from different disciplines from