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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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. 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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The Kleinstein Lab (Program in Computational Biology and Biomedical Informatics) is seeking a highly motivated researcher in computational immunology to work in close collaboration with the Yildirim
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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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analysis methods, including quantitative structural analysis, network-based functional analysis, voxelwise cross-modality analyses, graph theoretic approaches, and machine-learning based applications
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Postdoctoral Associate position on Informatics, Data Science and Machine Learning in the Dr. Ohno-Machado Lab at Biomedical Informatics and Data Science, Yale University Job Description Under
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Postdoctoral Associate in Computational Neuroscience at Yale The Post-Doctoral Associate will develop predictive, gene-regulatory networks linked to Parkinson’s and other neurological diseases in
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-on experience in blockchain technology (preferably Ethereum) and/or machine learning. Solid foundation in computer network and/or data analysis. Strong programming skills, preferably in Java. Ability to work
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Now Accepting Applications for Postdoctoral Associate positions in Computer Science, Data Science, and Economics 2025 – 2026. Center for Algorithms, Data, and Market Design, Yale University
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a robust academic and professional network, preparing for leadership roles in academia, policy, or industry. Receive the IT support required by their research (e.g. specialized software or computation