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apply cutting-edge machine learning algorithms, with focus on foundation models and LLMs/agents, to analyze complex biological data. This data includes gsingle cell genomics profiles, spatial data, and
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to the most relevant scientific problems across all stages of the pipeline. This position will be a joint mentorship between the departments of Computational Biology and Human Genetics to study the genetic
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, facilitating the understanding of causal relationships between genetic variation and disease outcomes. The Opportunity: You will be able to take advantage of in-house and world-renown expertise in regulatory
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to establish persistent colonization or infection. The successful applicant will have deep knowledge of and strong technical skills in immunology, microbial genetics, or microbe-host interactions
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candidates lacking either skillset will be considered. This position will collaborate extensively with scientists in other departments in particular Computational Sciences, Neuroscience, and Human Genetics