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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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such as GitHub Workflow, servers, and AI coding tools is essential, as is a strong background in either PyTorchor JAX. Applicants must have completed their Ph.D. prior to the beginning of their appointment
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with tensor networks, AI in physics and materials, etc.). A Ph.D. in Physics or a closely related field is required. The initial appointment will be for one year, and is renewable for another one or two
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development reviews, leadership and entrepreneurship training, collaborative training opportunities, and networking and conferences. Qualifications: PhD in Molecular Biology, RNA Biology, Biophysics, or a
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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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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
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multiple NIH grants, including the NIH Human Immunology Project Consortium (HIPC), a highly collaborative national network that the successful candidate will join. Available areas of research include both
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. Develop work plans and monitor progress and project timelines. Document coding and changes to work plans using established work group methods in GitHub. Interact with a multidisciplinary team of internal
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the direction and supervision of Prof. Lucila Ohno-Machado, we seek to appoint full-time Postdoctoral Associates (two positions) in the areas of privacy-preserving health data sharing, artificial neural network
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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