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physics-based theory with data-driven models, you will contribute to the next generation of predictive tools for materials design and discovery. You will also collaborate closely with experimental and
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You will develop and validate advanced AI models that integrate medical imaging, multi-modal clinical and omics data, and explainable AI (XAI) for the prediction of hepatocellular carcinoma (HCC
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. The tasks including but not limited to: Battery cell and system level models for both mature off-the-shelf (NMC) and emerging new batteries (solid-state) via a physics-informed data-driven approach. Accurate
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the deployment of coordinated flexibility measures. The research topics to be addressed in the project are: How and to which extent can agent-based energy simulations, powered by AI-driven forecasts within a UDT
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than intuition-driven approaches; leverage and expand on the economic models of Romer (endogenous growth and innovation) and Nordhaus (climate economics and integration of environmental externalities
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10 Oct 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Materials engineering Engineering » Nuclear engineering Researcher Profile
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-driven and use-inspired fundamental research in Computer Science. The main research themes are Artificial Intelligence, Computational Science and Systems and Network Engineering. Our research involves
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are Artificial Intelligence, Computational Science and Systems and Network Engineering. Our research involves complex information systems at large, with a focus on collaborative, data driven, computational and
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Two Postdoctoral Researchers in Cell Delivery-Based Beta Cell Replacement Therapy for Type 1 Diabete
Sciences (DACS). DACS is an international community of approximately 100 researchers at various stages of their career, embedded in the Faculty of Science and Engineering (FSE). Our department has more than
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-fidelity battery system model ready for future digital twin development. The tasks including but not limited to: Battery cell and system level models for both mature off-the-shelf (NMC) and emerging new