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associate will lead and contribute to the analysis of behavioral task data using computational modeling approaches, working closely with computational psychiatry experts Drs. Xiaosi Gu and Robb Rutledge and
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program, our laboratory addresses three central questions: ● Why do breast cancer therapies stop working? ● How can the patients developing resistance, and the biology driving it, be identified from a
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and kinetic modeling. A PhD in biomedical engineering, physics, or a related field is required. However, interested candidates with a strong computational background and interest in getting involved in
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neurodevelopmental disorders. The successful candidate will develop and apply experimental and computational approaches to understand gene regulation and disease mechanisms in neural development and to evaluate
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cellular biology approaches. The Park Lab develops human stem cell-based neural models to investigate molecular and cellular mechanisms regulating neurodevelopment and neural function, and to understand how
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cell immunology, mucosal immunology, and cancer immunology using animal models and single-cell multiomics/spatial transcriptomics approaches. This postdoctoral researcher will combine wet-lab molecular
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The Zhi Laboratory at Yale University (Department of Biomedical Informatics and Data Science) is seeking a highly motivated bioinformatician or computational biologist (Ph.D.) to join a method
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stress affects specific cell types in the nervous system and the gut, using human pluripotent stem cell (hPSC)-derived models of the enteric nervous system. Our work sits at the intersection of stem cell
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and cellular mechanisms underlying these disorders using cell-based assays, blood vessel organoids, and zebrafish and mouse models, working alongside neurosurgeons, computational scientists, and
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cancer models Experience with single-cell/single-nucleus genomics and spatial transcriptomics Computational analysis skills in R and/or Python A record of first-author publication To apply: Please send a