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: Ability to work with large structured and unstructured datasets, and GPU-accelerated computing. Proven experience with Large Language Models. Required Skill/Ability 3: Sound background in theoretical and
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, genetic and neuroimaging data to identify new biological mechanisms and develop precision medicine tools for these conditions. We have a track record of training outstanding postdocs who go on to successful
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@yale.edu using the subject line “Ohno-Machado Postdoc Applicant,” and including the following documents: Cover letter explaining your background and motivation for the position (2 pages maximum), including
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of Dr. Margaret Gopaul and 30% effort to the Yale NORSE study under the supervision of Dr. Lawrence Hirsch; Drs. Hirsch and Gopaul will be closely involved with both studies. The postdoc will play a key
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postdocs, research staff, and faculty including Drs Joel Gelernter, Daniel Levey, Janitza Montalvo-Ortiz, Renato Polimanti, and Hang Zhou. Opportunities to become involved with other areas of work will arise
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investigate mechanisms of cellular damage, and to understand their consequences for human health and disease. We wish to recruit a motivated postdoc to lead projects which aim to understand genome stability and
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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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to advance farm-based restoration or restoration in mosaic landscapes. How this postdoc position aligns with your professional goals and will support your career development. Please direct applications
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application to bids.admin@yale.edu using the subject line “Ohno-Machado Postdoc Applicant,” and including the following documents: Cover letter explaining your background and motivation for the position (2
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was awarded a NIH K99/R00 Pathway to Independence Award and will be happy to mentor postdocs for their career award application. Our current project can accelerate the development of methods/technologies