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fluids, flow-induced pattern formation in both simple and complex flows (e.g. flow instabilities, product defects), multiscale analysis, and the application of machine learning techniques. About the
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, multiscale modeling, molecular simulation code/software (e.g., LAMMPS, GROMACS), machine learning. Prior experience with applying simulations to biomolecular systems is a plus but not required. Applicants
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for the project. Project Description AMBER Project Overview This project is part of the EU co-funded research initiative AMBER, Advanced Multiscale Biological Imaging using European Research Infrastructures, which
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] Subject Area: Engineering / Biomedical Appl Deadline: none (posted 2025/02/15) Position Description: Apply Position Description Postdoctoral Associate in understanding multiscale interactions shaping human gut
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outcomes. The candidate will be a postdoctoral researcher within the Multiscale Materials (MsM) group for Physical Sciences Section in CSED. The MsM group is focused on delivering multiscale, multi-fidelity
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of the AMBER project This post-doctoral position is part of AMBER, Advanced Multiscale Biological imaging using European Research infrastructures, which will address scientific and sectoral gaps in biological
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Description of the AMBER project This post-doctoral position is part of AMBER, Advanced Multiscale Biological imaging using European Research infrastructures, which will address scientific and sectoral gaps in
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cofund research project AMBER, Advanced Multiscale Biological imaging using European Research infrastructures, will address scientific and sectoral gaps in biological imaging ranging from molecular
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cofund research project AMBER, Advanced Multiscale Biological imaging using European Research infrastructures, will address scientific and sectoral gaps in biological imaging ranging from molecular
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structural analyses, multiscale stress and strain characterisation, analysis of hydrocarbon reservoirs, mainly traps characterisation (including the timing of trap formation) and fluid migration. The candidate