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This 2-year, full-time postdoc, starting January 2027 (or as soon as possible thereafter), is part of a French National Research Agency (ANR) funded project, UniGEM (Unified Inference for Genomic
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The Machine Learning for Integrative Genomics team (https://research.pasteur.fr/en/team/machine-learning-for-integrative- genomics/) at Institut Pasteur, headed by Laura Cantini, works at
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collaborative teams, bridging the gap between cell biology, genomics and pathogenesis. With your expertise in cell biology (cell culture of human primary cells), you will characterize the mechanisms of host
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) Inferring context-specific site variation with evotuned protein language models. NAR Genomics and Bioinformatics, 8(1):lqag018. doi: 10.1093/nargab/lqag018 MacLean et al. (2026) Protein language models learn
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for analyzing whole genome and brain imaging data as well as new paradigms for characterizing mouse social and vocal behaviors. Role of the Postdoctoral fellow: She/he will analyze brain imaging and cognitive
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-phenotyping of individuals with autism and controls including brain imaging (EEG and MRI) and a battery of cognitive tests. Our group is currently developing new methods for analyzing whole genome and brain
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following expertise: Early fly and mouse development Quantitative imaging and image analysis Statistical physics and data analysis Microscope design and control Genomic and genetic tool design Candidates