43 computational-physics-simulation-"Prof"-"Prof" Postdoctoral positions at Yale University
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Postdoctoral Associate — Bioinformatics and Data Science - Stites Laboratory The Stites laboratory utilizes a variety of computational, mathematical, and experimental methods to study problems in
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, Biomedical Engineering, Computer Science, and Data Science. The Yale and VA NORSE study is a multicenter initiative focusing on New-Onset Refractory Status Epilepticus (NORSE), including its subtype of FIRES
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Anticipated Appointment Dates: 3/1/2025 Email/Website: Wendy.agudo@yale.edu (Program Manager) https://medicine.yale.edu/psychiatry/research/programs/center-science-cannabis-cannabinoids/ Introduction of School
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) participating in the research process, including research coordination, data analysis and manuscript preparation. The position can provide postdoctoral clinical hours and supervision necessary for licensure as a
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CADMY is offering several Postdoctoral Associate positions designed for recent graduates of Ph.D. programs working at the intersection of AI, Game Theory, Economics, and Computer Science. We
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driven individual with a PhD in data science, computer science, biomedical informatics, or a similar background with some experience working with large datasets. Prior experience with healthcare is not
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found on our web page, fds.yale.edu. Yale’s Data Science Initiative has supported the rapid growth of the departments of Statistics & Data Science and Computer Science, as well as many interdisciplinary
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(SUDs), psychiatric conditions, and other behavioral and lifestyle characteristics that impact human health using large datasets and biobanks including the Million Veteran Program (MVP), the SUD working
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where it would be cost-effective to screen and (iii) incorporating multi-omics data to better identify at-risk individuals beyond lifestyle and environmental approaches alone. Our research program has
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the Youth Sport, Recreation and Wellness Fund to follow a large and representative sample of middle school students over time. The project will investigate the childhood predictors of physical and mental well