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modelling photonic devices and physical reservoir computing systems. The activities within the project will benefit from synergies with other projects in the group as well as with other activities
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build a computational model of SIHUMIx to predict new interactions and how the community reacts to disturbances—predictions that will later be tested in bioreactor experiments This work will give us a
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for the built environment. Particular emphasis is placed on artificial intelligence in construction, building information modelling, point cloud capturing and processing, as well as construction robotics. The PhD
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-climatic Extremes (GENAI-X)«, funded by the Carl-Zeiss-Stiftung, addresses a fundamental AI challenge: achieving robust model generalizability in non-stationary environmental systems. Focusing on hydro
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opportunity to be part of the BaySensAI project (https://go.ur.de/baysenseai ) and develop an AI-based prediction and monitoring system for biodiversity data as part of the Bavarian research network bayklif2
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modelling is a valuable tool to revealing the source of UTLS aerosols, the origin of water masses, and formation processes of cirrus particles. Your key responsibilities include: Preparation, operation, and
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therapeutics by protein design. This project will apply cutting-edge generative AI methods—including protein design, structure–function prediction, and multimodal learning—to develop and optimize a new
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, Sweden) [IRP18] 5D model-based treatment personalization for right-time adaptive proton therapy (KU Leuven, Department of Oncology, Leuven, Belgium) Where to apply Website https://raptor-consortium.com
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components. To strengthen our research group Molecular Modeling / Section III, we are currently looking for a committed PhD Student (m/f/d) to start on 15/01/2026. The position is part-time (TV-L 13, 65%) and
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12.11.2025, Wissenschaftliches Personal Join our team in a collaboration between TUM and Politecnico di Milano! Develop cutting-edge methods combining remote sensing, physics-based modeling, and