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Epidemiology of Malaria), led by Aimee Taylor. Using simulation-based inference (SBI) with deep learning, UniGEM aims to build a neural network to estimate epidemiological parameters of P. falciparum
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This M2 or equivalent internship is part of a French National Research Agency (ANR) funded project, UniGEM (Unified inference for Genomic Epidemiology of Malaria). Using simulation-based inference
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offers a unique opportunity to work at the intersection of computational physics, neuroscience, and biomechanics, developing physics-based simulations that bridge neural circuits, muscle activity, and
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the laboratory: –Lefebvre A. et al. Neuroanatomical Diversity of Corpus Callosum and Brain Volume in Autism: Meta-analysis, Analysis of the Autism Brain Imaging Data Exchange Project, and Simulation. Biol
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. Measuring and predicting the effect of copy number variants on general intelligence in community-based samples. JAMA Psychiatry 2018 75(5):447-457. Mercati O. et al. CNTN6 mutations are risk factors for