66 software-verification-computer-science-"TCAT-Jacksboro" Postdoctoral positions at Yale University
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. The candidate is expected to work in theoretical condensed matter, quantum information science and related fields (e.g. correlated systems, light-matter interactions, non-equilibrium dynamics, quantum simulation
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Anticipated Appointment Dates: 3/1/2025 Email/Website: Wendy.agudo@yale.edu (Program Manager) https://medicine.yale.edu/psychiatry/research/programs/center-science-cannabis-cannabinoids/ Introduction of School
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Goshua Lab, Medical Oncology & Hematology, Yale Cancer Center and Yale School of Medicine Title: Postdoctoral Position in Decision Science and Pharmacoepidemiology Description: One full-time
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Program in Agrarian Studies, Yale University Postdoctoral Associates for 2025-2026 The Agrarian Studies Program will appoint three postdoctoral associates for the 2025-2026 academic year, chosen
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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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CADMY is offering several Postdoctoral Associate positions designed for recent graduates of Ph.D. programs working at the intersection of AI, Game Theory, Economics, and Computer Science. We
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Title of the Position: Postdoctoral Associate Department and School: Department of Obstetrics, Gynecology & Reproductive Sciences, Yale School of Medicine Anticipated Appointment Dates
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translational cancer biology research program has helped postdoctoral fellows obtain outstanding career positions in industry and in academia. The Stites lab investigates problems in cancer biology and in cancer
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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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. * Proficiency in R, Python, or related software and programming languages. * Experience with big data, linux systems, and remote computing clusters. * Knowledge of genome-wide approaches and other statistical