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the frame of the FNR-CORE supported project OPTMONITOR (Optimal Monitoring and Coupled Modeling for Climate-Driven Landslide Risk Detection) at the University of Luxembourg (Faculty of Science, Technology and
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reactions, or transport mechanisms. • Experience in data-driven modeling or machine learning applied to membrane materials or separation performance analysis is a strong advantage. • Candidates with strong
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attitude, ability to work independently as well as in a team. Familiarity with green building technology, HVAC system study and optimization, sustainable building design, building energy modelling, CFD
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and data-driven modelling approaches in representing quality degradation and shelf-life dynamics. Exploratory perspectives on how digital technologies and data-oriented analyses may inform scientific
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challenging due to the complexity of the materials and the various environmental factors involved. The ConSOLIDATe (Controlled Study Of Light Induced Degradation by Advancing Technology) project aims to tackle
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qualities You have a PhD in a computational field such as Artificial Intelligence, Computer Science or Software Engineering for Artificial Intelligence. You have a strong technical background 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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The Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB) is a pioneer and a driver of bioeconomy research. We create the scientific foundation to transform agricultural, food
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plants). The associate will develop rigorous, scalable methods—spanning physics-based and data-driven models—for optimal power flow, demand response of flexible loads, transient/stability-aware dispatch
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of modelling and decision-support frameworks relevant to engineering and infrastructure systems. You should possess a good honours degree and a PhD (or equivalent professional experience) in Mechanical