48 programming-language "INSAIT The Institute for Computer Science" Postdoctoral positions at Yale University
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). Below are key aspects of the training program: The Yale CPC Training Program aims to train pre- and post-doctoral fellows in five thematic areas: cancer etiology, cancer outcomes, lifestyle behavioral
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Postdoctoral Position in the Yale Cancer Prevention and Control Training Program The Yale School of Public Health and the Yale Comprehensive Cancer Center (YCC) have a Cancer Prevention and Control
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management for use in the ELTI-Rwanda program (click here for a Spanish-language example in the Neotropics). Secondary Duties (when Feasible) Participate in the working group established by ELTI’s program
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Postdoctoral Associate (PDA) position in Clinical High Risk for Psychosis Program The PRIME Psychosis Risk Clinic (https://www.prime.research.yale.edu) at Yale University School of Medicine is
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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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: 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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/. Position Overview: We are looking for a highly motivated and qualified postgraduate trainee to join the project team. This individual should have experience in python programming including experience with
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record (EHR) as well as MyChart data, with the opportunity to work on applications of machine learning/deep learning/ Natural Language Processing in novel areas of healthcare. The position is open for a
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), genome/phenotype analysis (Dr. Jihoon Kim) and applications of large language models (Dr. Ohno-Machado). The Postdoctoral Associate will be responsible for co-developing and conducting research projects
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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