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-disciplinary Center dedicated to precision medicine, and teams of compute, neuroscience, and clinical experts. We have multi-year funding for this position from our Aligning Science Across Parkinson’s disease
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biology lab that is focused on utilizing genetic approaches to understand and exploit resistance mechanisms to DNA damage. Our research program has a particular interest in studying the interplay between
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at national/international conferences Access to a broad network of collaborators at Yale and beyond Qualifications We welcome applicants with backgrounds in either experimental biology, computational biology
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inflammation, multiparameter flow cytometry, and bioinformatics/computational biology is desired. Please send curriculum vitae, three names of reference and a one-page summary of research background and
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: ● Completed doctorate in Biostatistics, Statistics, Data Science, Computer Science, Bioinformatics, or a related field before the start of the appointment ● Strong oral and written communication skills
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cell and molecular biology in human cell models, cancer biology, and genomics. Experience in genomic instability, DNA damage/repair, and mutagenesis is beneficial. Computational experience is highly
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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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: the Yale Program for the Study of Global Antiquity. Archaia is a collaborative forum that brings together scholars and graduate students working on early and pre-modern cultures and civilizations at Yale in
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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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, microvascular function, cognition, or COVID-19. Candidates with advanced quantitative data analytic skills, including computational modeling, are particularly encouraged to apply. Familiarity with medical