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identify the cells, cellular states, and biological programs through which genetic variation influences disease. Your work will sit at the intersection of statistical genetics, machine learning, and
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will join a research group working on longitudinal models of multiple chronic diseases across the life course. The postdoctoral researcher will contribute to building and evaluating machine learning
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: Experience with microbiome, genomics or tree-valued data. For applicants to the Microbial Bioinformatics track: Familiarity with machine learning methods. Experience with anvi'o databases. For all applicants
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Technopole supports career development through training, mentoring and dedicated learning opportunities. What you'll bring Essential PhD Degree in a relevant scientific field (e.g. genetic epidemiology
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collaborative discussions. You must hold a PhD/DPhil in Statistics, Statistical Machine Learning, Deep Generative Modelling, or a closely related field, together with relevant postdoctoral research experience