65 computer-science-programming-languages-"O"-"O" 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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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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, 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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. 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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well as for candidates with an expert programming background who are looking to move into computational biology. Applicants should send a CV including a list of publications, programming languages, a statement of research
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Postdoctoral position in AI for protein design with applications to TCR & BCR models The lab of Prof. María Rodríguez Martínez at the Department of Biomedical Informatics & Data Science, Yale School
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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
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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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program. T • The ideal applicant will have prior experience in neuroimaging analysis and a strong background in Python, Matlab, &/or R, and/or facility in other scripting languages and the willingness
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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