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-career scientist to develop cutting-edge machine learning approaches for understanding and designing pathogen antigens. This is a unique opportunity to help shape a new research program at the intersection
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computational workflows and high-performance computing Experience handling large population-genetic simulations (e.g., SLiM, msprime, tskit) Application: Interested applicants should email Aimee Taylor (ataylor
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the interface of machine learning and biology, developing innovative machine learning methods for single-cell data analysis (tools developed by the team: https://github.com/cantinilab). Single-cell high
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physiological function of cellular senescence, and how does it transition from a regenerative program to a driver of pathology? We investigate how senescent cells control tissue plasticity and microenvironmental
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PRDX6-PLA2 block intraerythrocytic blood stage growth. This collaborative project with Université de Lille and Institut Pasteur de Lille will develop and use high throughput assays to identify novel
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following skills: Strong interest in the field of neuroimaging, psychiatry and genetics. Computer skills: Strong level in the main informatics software (FSL, Freesurfer, fMRIprep) and coding languages (R
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[email protected] in Cc. The candidate should have a PhD in Human Genetics and the following skills: Strong interest in the field of genetics, neurobiology and psychiatry. Computer skills: strong level in
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an emphasis on tissue long lived cells such as stromal cells, and their crosstalk with tumor cells, immune cells and the vasculature. We perform mostly in vivo studies, combining lineage tracing and depletion