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postdoctoral researcher to participate in a series of projects that focus on leveraging healthcare data to improve patient care. The work spans work with structured and unstructured data in the electronic health
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science, computer science, biomedical informatics, or closely related fields who are interested in one of the above areas or their intersection with health sciences and healthcare. Key Responsibilities
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Postdoctoral Associate Position, School of Public Health and Department of Biostatistics New Haven, Connecticut We are actively recruiting a postdoctoral associate to join the Public Health Data
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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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, computer science, data science, social sciences, public policy, or a relevant interdisciplinary area. Interest in addressing the governance, ethical, legal, and societal implications (GELSI) posed by digital
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(e.g., Health Informatics, Clinical Informatics, Biomedical Engineering, Electrical Engineering). Those in the final stages of their PhD are also eligible to apply. A good understanding of medical data
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with a background in data science, computer science, biomedical informatics, or closely related fields who are interested in one of the above areas or their intersection with health sciences and
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year at Yale in dual affiliation with the Yale Child Study Center and the Yale Center for Brain and Mind Health (CBMH). Originally rooted in clinical psychological science, the Cha Lab strives to embody
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. Qualifications We are seeking candidates who meet the following criteria: A PhD or equivalent degree, already obtained, in a related field e.g., philosophy, law, computer science, data science, social sciences