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(Machine Learned Potentials) type approaches, and/or multi-objective approaches. - in-depth knowledge of Python programming languages (or C++, Fortran) and the Unix system; - Certified level in written and
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generation) and we need to develop innovative and efficient methods capable of processing an increasingly large mass of data, which is increasingly complex. The post-doc will work under the responsibility
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in developing and applying niche models, and population models. Experience with machine-learning will be considered as a plus. Knowledge of paleogenomics, population genetics and isotope geochemistry
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Brain Barrier (BBB), CNS Drug Delivery, Brain Shuttles, Brain Imaging, Medicinal Chemistry, Computational Science, Artificial Intelligence (AI), Machine Learning. MAIN SUB RESEARCH FIELD OR DISCIPLINES1