67 fully-funded-phd-program-computer-science-eth Postdoctoral positions at Yale University
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Anticipated Appointment Dates: 7/1/2025 Email/Website: Wendy.agudo@yale.edu (Program Manager) https://medicine.yale.edu/psychiatry/research/clinics-and-programs/center-science-cannabis-cannabinoids
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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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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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(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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doctorate (PhD, or MD, or MD,PhD) degree in medicine or life sciences/biology is required. Prior experience working in animal models, animal surgery, molecular biology techniques such as cloning, cell culture
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modeling. However, interested candidates with a strong computational background and interest in getting involved in medical imaging and preclinical models are also strongly encouraged to apply. A PhD in
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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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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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program of training will also include both attendance at departmental workshops and seminars. They will present their results at weekly Fredericks Lab meetings, join in our weekly journal club, and be
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, contribute to the lab through teamwork and discussion and help to train, supervise, and mentor junior trainees. Minimum qualifications include: • PhD in molecular or cell biology, immunology, cancer biology