235 embedded-system "https:" "https:" "https:" "https:" "UCL" positions at Technical University of Munich
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Technologies at TUM’s School of Engineering and Design is looking for a doctoral researcher (f/m/d) in the area of Collaborative Machine Learning for the Energy Transition. You are passionate about machine
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The Livestock Systems research group at the TUM School of Life Sciences is recruiting a postdoctoral researcher (m/f/d) to work on grassland restoration. The aim of our group is to improve the understanding
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, mental health, and news consumption. The research conducted by the doctoral candidate is situated within the thematic context of LLM governance models to advance the legal and ethical aspects of LLM-based
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27.02.2023, Academic staff The newly established Professorship of Energy Management Technologies at TUM’s School of Engineering and Design is looking for Research Associates / Doctoral Candidates (f
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26.07.2023, Academic staff The Professorship for Cellular Agriculture (Prof. Dr.-Ing. Marius Henkel) was established in September 2022. Cellular agriculture is a multidisciplinary field that
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27.12.2021, Academic staff The Chair for Renewable and Sustainable Energy Systems (ENS) at Technical University of Munich (TUM) is part of the TUM School of Engineering and Design and deals with
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the investigation of technical and non-technical barriers for the implementation of geothermal heat pump systems in the European Union, working together with international experts. Further task is the devel-opment
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18.10.2022, Academic staff The lab for Artificial Intelligence in Medical Imaging (www.ai-med.de) is looking for a Post-Doc. The task will be the multi-modal modeling of medical data. The lab
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" promotes the innovative and sustainable use of wood-based materials and products through research, teaching and development projects. About the project: The objective of the work is to elucidate
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networks for solving inverse problems, learning robust models from few and noisy samples, and DNA data storage. The position is in the area of machine learning, with a focus on deep learning for inverse