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20.08.2025, Academic staff The Professorship of Energy Management Technologies at TUM’s School of Engineering and Design is looking for a Research Associate and Doctoral Candidate (f/m/d) in Energy
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initiatives at the interface of biology, AI, engineering and medicine. You will be part of a collaborative and forward-thinking team, contributing to the MDC’s vision of advancing human health through data
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TUM School of Social Sciences and Technology. Full-Time Commitment: The position requires full-time commitment with a physical presence at the recruiting institution. Teleworking is not permitted
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context What you contribute must have: Studies in the field of materials science, chemical engineering, mechanical engineering, process engineering, energy technology or a related field Enthusiasm for
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required: FELASA B and experience coordinating animal experiments Experience with VR-based annotation tools and 3D proofreading MSc or PhD in life sciences, biomedical engineering, optical physics, or a
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implement currently available methods in this area, evaluate their performance and systematically study their dependability. What you contribute You study computer science, electrical engineering or a similar
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of already implemented methods of the systems towards better performance and visual quality, to adding support for existing 3D frameworks such as the Unity Engine. The task spectrum allows for familiarizing
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learn about state-of-the-art and emerging AI methods for clinical applications Your profile An excellent master's degree or a PhD in computer science, software engineering, data science, physics
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scientific publications, workshops and conferences as well as to external collaboration partners Active support of team leader in terms of acquisition of new projects and technology transfer into pharma and
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training data for a neural network. Python with PyTorch is used for software development. This project requires expanding the system to larger datasets as well as applying the technology to hyperspectral