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. The work combines physics-based thermal design and process-level system simulation with high-fidelity computational fluid dynamics and fast reduced-order and machine-learning models, so that the final design
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engineering parts. This position offers a unique opportunity to drive the development of system-level digital-twin and optimization methodologies—integrating electrolyzer models with renewable generation, power
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Requisition Id 17142 Overview: We are seeking a Postdoctoral Research Associate who will focus on urban-scale energy modeling. This position resides in the Grid Interactive Control Group in
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to a variety of social and sports clubs About the Role This project is associated with an exciting new EPSRC/UKRI-funded Programme Grant entitled “Advanced Device Concepts for Next-Generation
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data and applied to public datasets, e.g. Fermi-LAT and DESI. The two postdocs will be recruited simultaneously and will work as a team toward a single joint pipeline. Position 1 — LSS forward modelling
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-disciplinary team. Our research sits at the cutting edge of regenerative medicine and neurobiology, utilizing state-of-the-art human induced pluripotent stem cell (hiPSC) models, 3D tissue engineering, and
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 10 days ago
of meteorites as well as numerical modeling on state-of-the-art supercomputers. We invite applications for two Postdoctoral Positions (f/m/d) on SO/PHI data reduction and exploitation. The solar department
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northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering
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Developing computational models and running computer simulations in science and engineering still requires substantial expert knowledge. Agentic artificial intelligence (Al) offers a great
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will join a research group working on longitudinal models of multiple chronic diseases across the life course. The postdoctoral researcher will contribute to building and evaluating machine learning