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The Leibniz Institute for Tropospheric Research (TROPOS) is a research institute of the Leibniz Association and an internationally renowned institute in the field of aerosol and cloud research
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to the computational complexity of climate models, these will be replaced by physics-informed deep learning surrogates in the aforementioned model coupling. The project will initially focus on one main application
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Environmental Physics 2. Solid State Physics Electron Microscopy Semiconductor Epitaxy Semiconductor Optics Surface Physics 3. Theoretical Physics Complex Systems Solid-State Theory Semiconductor Physics
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Everyone is talking about artificial intelligence. But who is developing the necessary chips? We are, for example! Would you like to help drive the development of a new highly efficient AI hardware
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Everyone is talking about artificial intelligence. But who is developing the necessary chips? We are, for example! Would you like to help drive the development of a new highly efficient AI hardware
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PhD position - Stress-testing future climate-resilient city and neighbourhood concepts (Test4Stress)
Work group: Gerics - Climate Service Center Area of research: Other Part-Time Suitability: The position is suitable for part-time employment. Starting date: 08.05.2025 Job description: PhD position
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storage is an advantage. Ability to work independently with intrinsic motivation and initiative in a team. Joy and expertise in complex challenges in reaction engineering and thermodynamics. Competence in
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Description The Soft Matter Physics Group at the University of Tübingen is searching for a PhD student / doctoral candidate in Physics, Machine Learning and advanced X-ray and neutron scattering (m
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13.03.2025 Application deadline: 30.06.2025 The Soft Matter Physics Group at the University of Tübingen is searching for a PhD student / doctoral candidate in Physics, Machine Learning and advanced
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responsibilities will include utilizing state-of-the-art ML platforms such as TensorFlow and PyTorch to process and analyze complex datasets related to CO2 transport and storage. You will develop methods for real