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with interests in molecular simulations, machine learning, and statistical mechanics for research opportunities in: • Development of data-driven schemes for the discovery of slow degrees of freedom
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Infrastructure? No Offer Description We are looking for a highly motivated and talented postdoctoral candidate with interests in molecular simulations, machine learning, and statistical mechanics for research
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. The experimental data will be confronted to results obtained from self-consistent charge density functional tight binding molecular dynamics (SCC-DFTB MD) simulations, which also yield the PDFs and vibrational
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/inter-molecular bonds, such as ligand isomerisation or photo-induced phase transitions. Applying pressure to a crystal is another external stimulus that can change the properties of a material by
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to state-of-the-art research facilities at Université de Lorraine, CNRS and CHRU-Nancy. The candidate should have a Master’s degree in neuroscience, cognitive science, biology, engineering, psychology
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, biology, engineering, psychology or equivalent. Ideally, he/she should also have a good level in French and a solid background in cognitive neuroscience. Knowledge of electrophysiology/neuropsychology