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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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pressures. · Analytical Skills: Ability to conceptualize and conduct complex analyses that involve different typs of data (clinical, genetic, neuroimaging) · Capacity for independent work
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complex algorithms and predictive models and determine analytical approaches and modeling techniques to evaluate potential future outcomes. Establish analytical rigor and statistical methods to analyze
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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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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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. This role enables postdocs to gain expertise in causal analysis within complex, non-probability observational samples while engaging in exciting applications that harness and integrate data from various
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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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opportunities at Yale. This includes seminars from internationally renowned researchers and ‘Meet the Speaker’ lunches, and professional development and networking activities including via the Yale Postdoctoral
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analyse complex data from emerging genomic pathology approaches, including CRISPR, single cell sequencing, spatial transcriptomics, and image analysis to address biologically- and clinically-driven
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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