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, artificial neural network models, evaluation of individualized predictions or estimates for individuals with diverse backgrounds, and promotion of health equity using AI models. The Postdoctoral Associate will
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), or reinforcement learning (RL) post-training. Experience with multi-GPU training and a strong working knowledge of reinforcement learning are also required. Familiarity with standard software development tools
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Research Skills: Proficiency in quantitative research methods and statistical software (e.g., SPSS, Stata, R). Publications: A demonstrated track record of academic publications and research outputs
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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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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 time). Additional Information
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The Israelow lab (https://medicine.yale.edu/profile/benjamin_goldman-israelow/) is seeking a motivated postdoc interested in studying mucosal immunity and mucosal vaccines, and novel vaccine
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scientists, etc), and an enthusiasm to understand and explore the underling biological processes. We think the best career opportunities for postdocs come in an environment where you lead major projects
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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