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(SHM), physics-based modeling, and data-driven analytics to enable predictive, performance-based decision-making and improve infrastructure safety, resilience, and lifecycle performance. The candidate is
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of Systems and Control, Department of Electrical Engineering, focused on innovative research in Data-driven Modelling and Optimisation for Fast Charging of Lithium-Ion Batteries. About us At the department
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Technology (KAUST)CountrySaudi ArabiaState/ProvinceMakkahCityThuwalPostal Code23955Geofield Contact State/Province Saudi Arabia City Thuwal, Makkah Website https://pse.kaust.edu.sa Street KAUST Campus Postal
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expertise in engineering, materials, and data science, including AI/ML, to evaluate aerostructural and aeroelastic properties of aerodynamic systems, with a focus on high-fidelity modeling and simulation and
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AI-driven learning technologies on learning outcomes, cognitive development, and mental health. Details: The ideal candidate will have methodological expertise in one of the following areas: multimodal
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, Industrial Engineering, or a closely related quantitative discipline. • Demonstrated research expertise and strong publication record in Generative AI, VLMs and/or VLA models, and their applications in
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of electrochemical effects into numerical and theoretical models describing the flows within LMBs. These flows, driven by magnetohydrodynamic or thermal phenomena, can become unstable and lead to a short circuit of
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17 Mar 2026 Job Information Organisation/Company University of Amsterdam (UvA) Research Field Computer science » Informatics Computer science » Programming Sociology » Social shaping of technology
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of advanced preclinical in vitro and in vitro models inclucing genetic engineering of T cells to address mechanistic and translational questions relevant to clinical application. Your responsibilities
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ABOUT VINUNIVERSITY VinUniversity (VinUni: https://vinuni.edu.vn/ ) is the first private, not-for-profit Vietnamese university established based on international standards. The university integrates