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12 Nov 2025 Job Information Organisation/Company University of Innsbruck Department Faculty of Engineering Sciences Research Field Technology » Energy technology Researcher Profile First Stage
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27.10.2025, Wissenschaftliches Personal Are you passionate about generative AI and digital twins for intelligent mobility systems? Do you see potential in using large language models, vision
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simulation workload and update the solver data structures when the mesh changes. These approaches would be applied on modern large-scale heterogeneous parallel computing environments where both CPUs and GPUs
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will use a high-fidelity large eddy simulation (LES) code and scientific machine learning tools, such as real-time optimisers, in order to simulate wind farms exposed to various atmospheric inflows. Some
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Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy | Austria | 14 days ago
5 Nov 2025 Job Information Organisation/Company Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy Research Field Computer science » Modelling tools
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31 Oct 2025 Job Information Organisation/Company CNRS Department Institut de Génétique Humaine Research Field Biological sciences » Biology Researcher Profile First Stage Researcher (R1) Country
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and simulations with the analysis of large-scale genomic data of various types. The project primarily focuses on cattle and poultry, but comparative studies with other species may also occur. There is
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Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 26 days ago
) at the Max Planck Institute for Intelligent Systems in Tübingen (Germany) has an open position for a Doctoral Researcher for the project “WeGaze: Large-Space Gaze Analysis via Multi-camera System for Social
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degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment
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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
breakthroughs or large-scale adoption events. The module will be validated on both historical datasets and scenario data generated by Integrated Assessment Models (IAMs), large climate-economic models used