23 molecular-modeling-or-molecular-dynamic-simulation Postdoctoral positions in Luxembourg
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. The open position is part of the NAXDivo Core project, funded by the Fonds National de la Recherche (FNR), which aims at generating and analyzing whole organism models (zebrafish and mouse) to dissect
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Location: Esch-sur-Alzette, Luxembourg 4364, Luxembourg [map ] Subject Areas: differential geometry, and smooth dynamics and transformation groups Appl Deadline: (posted 2025/01/15, listed until 2025/09/04
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be found on hpc.uni.lu . The activities include classical HPC applications, such as simulation and modeling, as well as artificial intelligence and machine learning, which bridge computational science
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experimental data gathered and processed by a doctoral candidate in the project, you will extend the existing open-source Model of Explicit Cross-section Hydraulic Anatomy (MECHA) to simulate water and solute
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management support, with concrete prototype, by analyzing and understanding data through models—both static and dynamic representations that capture the knowledge and behavior of a physical system. The role
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be found on hpc.uni.lu . The activities include classical HPC applications, such as simulation and modeling, as well as artificial intelligence and machine learning, which bridge computational science
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data-driven models, mixing knowledge about human modelling, the driver-car-tire system and its environment, with telemetric and physiological data gathered from a world-leading car simulator. Your role
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scales. The project involves the modelling of energy infrastructures, the development of scenario-based simulations, and the generation of actionable indicators to support decision-making. You will be part
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Applications should include: Curriculum Vitae List of publications and manuscripts in preparation (if applicable) Copy of PhD degree certificate, if available Cover letter including: Self-assessment
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website: https://www.list.lu/ How will you contribute? You will join a dynamic research team working on the real-time operation of intelligent and active grids, bridging edge devices and cloud-based