63 programming-"https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" Postdoctoral research jobs at Yale University in United States
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backgrounds and perspectives. Additionally, in accordance with this Policy and as delineated by federal and Connecticut law, Yale does not discriminate in admissions, educational programs, or employment against
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does not discriminate in admissions, educational programs, or employment against any individual on account of that individual’s sex, sexual orientation, gender identity or expression, race, color
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delineated by federal and Connecticut law, Yale does not discriminate in admissions, educational programs, or employment against any individual on account of that individual’s sex; sexual orientation; gender
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programming skills in Python, R, or similar languages. Experience working with large biological datasets. Familiarity with Linux-based computing environments and high-performance computing. Excellent analytical
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), through its Democratic Innovations program. However, it is physically headquartered at the University of South Carolina, under the direction of Prof. Bagg. The holder of the postdoctoral position will thus
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. Additionally, in accordance with this Policy and as delineated by federal and Connecticut law, Yale does not discriminate in admissions, educational programs, or employment against any individual on account of
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Required: PhD in Bioinformatics, Computational Biology, Computer Science, or equivalent related field Strong programming skills (R and Python required; PyTorch/JAX/TensorFlow preferred) Demonstrated track
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with this Policy and as delineated by federal and Connecticut law, Yale does not discriminate in admissions, educational programs, or employment against any individual on account of that individual’s sex
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admissions, educational programs, or employment against any individual on account of that individual’s sex; sexual orientation; gender identity or expression; pregnancy, childbirth or related conditions; race
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emphasis on mentorship and value the opportunity to train future leaders in human genetics. The PI will work with the successful candidate to develop and implement a mentorship plan tailor-made