65 computer-science-programming-languages-"St"-"St" Postdoctoral positions at Yale University in United States
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, quantum information science and related fields (non-equilibrium dynamics, quantum simulation with tensor networks, etc.). A Ph.D. in Physics or a closely related field is required. The initial appointment
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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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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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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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for up to four Postdoctoral Associates for an appointment period from July 1st, 2025 – June 30th, 2027. Inaugurated in the 1999-2000 academic year, the Postdoctoral Associates Program at the Council
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science, building and evaluating tools to support students, teachers, and schools to thrive. We do this by conducting research on the science of emotions and emotional intelligence, evaluating programming
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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
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doctoral degree in genetics/epigenetics, statistical genetics, computer science and bioinformatics, or other relevant areas at the time the position begins • Excellent organization and project management
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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
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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