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position in the area of machine learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and reinforcement
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improve the understanding and performance of processes enabling the utilization of space resources with an initial focus on the Moon. To find out more about ESRIC activities: www.esric.lu How will you
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of pharmaceutical formulations and molecular recognition processes relevant to drug delivery systems. The work focuses on molecular binding phenomena such as host–guest inclusion complexes and drug–excipient
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(doctoral researcher) to enhance our research group. The candidate will contribute to the numerical modelling, the analysis, and the interpretation of marine biogeochemistry model simulations based on NEMO
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-scale numerical simulation framework to assess mechanical cloaking meta-structures within the ANR–FNR Metacloak project (Robust multi-scale design of meta-structures for mechanical cloaking from additive
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to correct or account for these biases, and build predictive models that simulate biological responses to in silico perturbations such as genetic or pharmacological interventions. The project aims to advance
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research environment for biophysics. Our group combines molecular dynamics simulations with machine learning techniques to understand how proteins, biomembranes, and small drug-like molecules interact
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science, materials engineering and chemistry to improve the safety of products and processes. At BAM we do research that matters. Our work covers a broad array of topics in the focus areas of energy
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simulations, experiments and use case demos using our laboratories equipped with drones, legged and humanoid robots. For further information, please contact Holger Voos at: Your profile Solid experience
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++ and/or Python Experience with SOFA, FEniCSx or similar simulation frameworks is a strong plus Motivation to work at the crossroads of mechanics, AI and medical technology, in close collaboration with