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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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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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at the Aachen-Maastricht Institute for Biobased Materials of Maastricht University, which is part of the Faculty of Science and Engineering. You will work in the group of Associate Professor Katrien Bernaerts
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materials. Job description Research reactors (RRs) are essential to the progress of nuclear science and technology. Although they are not used for power generation, they enable critical activities such as
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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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-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
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Job related to staff position within a Research Infrastructure? No Offer Description Teaser Text We are seeking individuals with a curiosity-driven research record who work at the intersection
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learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with applications to medical imaging and robotic systems. In this role, you will