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Robotisation (PROMAR) group, headed by Matthias Rupp. The group develops fundamental and technological expertise in machine learning for materials science, including data-driven accelerated simulations and
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(mechanical, electromagnetic, and, possibly, fluid-dynamic) and multi-scale simulations for drone components using finite element tools (e.g., Abaqus, Comsol). · Supporting the development of an AI
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-chemical-physics/ ) led by Prof. Alexandre Tkachenko at the Department of Physics and Material Science, we are looking for a PhD candidate to perform molecular dynamics simulations of different genetic
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alternative CO2 concentration trajectories will result in altered ecosystem dynamics and resilience. O3: Evaluate the ecosystem resilience simulated by a vegetation demography model with emerging signals
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rewiring in glioma. We will leverage our expertise in genetic engineering and m6A profiling, and characterize the specific metabolome and lipidome composition of glioma. We will assess the impact of m6A
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/forfus ), associated with the FORLUX (https://www.list.lu/en/research/project/forlux ) research project, both of which together will include 13 doctoral candidates and 4 postdoctoral researchers. We seek
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/project/forfus ), associated with the FORLUX (https://www.list.lu/en/research/project/forlux ) research project, both of which together will include 13 doctoral candidates and 4 postdoctoral researchers. We
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the FORLUX (https://www.list.lu/en/research/project/forlux ) research project, both of which together will include 13 doctoral candidates and 4 postdoctoral researchers. We seek candidates with a strong
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the FORLUX (https://www.list.lu/en/research/project/forlux ) research project, both of which together will include 13 doctoral candidates and 4 postdoctoral researchers. We seek candidates with a strong
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utility for a varying range of use cases and data types. The candidate will perform the work together with an interdisciplinary team of postdoctoral researchers who are experts in the field. In general, the