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platform of analogue hardware accelerators, so-called Ising machines, that efficiently speed up these computationally difficult tasks in a way unlike any current digital computer. These Ising machines are a
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to accelerate the energy transition in Luxembourg by co-creating an ambitious research program. It will utilize a data-driven approach to support decision-making for an optimal energy system, with specific focus
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Energy Transition NCER Project (D2ET). This project aims to accelerate the energy transition in Luxembourg by co-creating an ambitious research program. It will utilize a data-driven approach to support
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Energy Transition NCER Project (D2ET). This project aims to accelerate the energy transition in Luxembourg by co-creating an ambitious research program. It will utilize a data-driven approach to support
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information, please visit our website: www.uni.lu/snt-en/research-groups/finatrax/ The candidate will work on the the Data-Driven Energy Transition NCER Project (D2ET). This project aims to accelerate
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are looking for a highly motivated and skilled PhD researcher to work on graph-based machine learning surrogates of wind energy systems. Our goal is to accelerate flexible fatigue load estimation
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commonly caused by mutations in the ABCC6 gene. This results in progressive skin lesions, retinal bleeding leading to blindness and accelerated atherosclerosis with a high cardiovascular risk. Currently, the
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the understorey. Canopy disturbances are now accelerating across European forests, and climate-change induced drought is a key driver. These disturbances are opening the canopy and exposing forest biodiversity
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factors that accelerate material deterioration (e.g., hydrogen embrittlement, corrosion). The primary tasks include developing advanced multiphysics frameworks (finite element/phase-field methods