71 postdoc-position-in-image-coding-"Multiple" uni jobs at Technical University of Munich
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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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Research Associate (Postdoctoral fellow) or PhD student to join our team starting from now onwards. This position is funded for three years and focuses on cutting-edge research in the field of B cell
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29.05.2025, Wissenschaftliches Personal Two positions for doctoral students in the field of experimental polymer physics are available at the TUM School of Natural Sciences. The Soft Matter Physics
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molecular modeling and be-come part of TUM, a top European university. The position is available immediately and for a duration of three years (possible extension). Salary is based on the Free State
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full-stack developer position to be filled on August 1st 2025 to enlarge our strong research team developing production-quality medical NLP applications. Full-Stack Developer Position at TUM (sebis
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knowledge-driven reconstruction of floor plans using multiple image data sources” Research and development into knowledge-driven systems and their integration into generative AI Providing scientific
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Chair of Biological Imaging 26.05.2025, Wissenschaftliches Personal We now seek a highly qualified and motivated Science manager (f/m/d) to support our ongoing third-party projects and the
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distributed energy storage like stationary batteries and hydrogen storage to maximize energy efficiency while keeping the grid reliable and secure. Our research method is engineering-oriented, prototype-driven
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interested individual with the potential to become a leader in the team. Intellectual flexibility and the ability to work in a multidisciplinary environment on multiple scientific and infrastructure projects
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. Research Focus The rise of powerful Large Language Models (LLMs) and autonomous AI agents is set to fundamentally change the practice of software engineering. As AI evolves from simple co-pilots to agents