47 parallel-computing-numerical-methods-"Prof" Postdoctoral positions at Yale University
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disorder, suicidality, substance use disorders, depression and anxiety, and many related psychiatric traits. We have work based in the uniquely-informative Million Veteran Program dataset, and also make use
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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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(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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topics include, but are not limited to (i) developing statistical and machine learning methods for study designs and decision-making in early detection of pancreatic cancer (ii) establishing strategies
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School of Medicine. We develop and apply innovative experimental and computational approaches to study cellular heterogeneity and its impact on tissue function in health and disease. Our interdisciplinary
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analysis methods, including quantitative structural analysis, network-based functional analysis, voxelwise cross-modality analyses, graph theoretic approaches, and machine-learning based applications
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, with at least one published first-author manuscript in pharmacoepidemiology and/or health decision science in a peer-reviewed journal. 2. Strong background in epidemiological and statistical methods
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to become an independent academic researcher in the areas of translational addiction genomics/epigenetics, computational psychiatry, and aging. The postdoctoral associate will work primarily with Dr. Ke Xu
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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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, political science, statistics, econometrics or related field by the start of the appointment Advanced coursework in empirical methods, including econometrics and economics, with strong demonstrated academic