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, such as electronic health records and genomic data, to provide actionable insights to clinicians, researchers, and patients. The lab bridges computer science and medicine through affiliations with
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Posted on Tue, 01/21/2025 - 07:48 Important Info Deprecated / Faculty Sponsor (Last, First Name): Wang, Sophia Stanford Departments and Centers: Ophthalmology Appointment Start Date: ASAP Group or Departmental Website: http://optima.stanford.edu (link is external) How to Submit Application...
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Computational Spatial Biology We are seeking a postdoctoral fellow in computational spatial biology to work in the laboratory of Professor Sylvia Plevritis in the Department of Biomedical Data Science at Stanford
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explaining your interest in becoming a postdoc with the respective research lab/center/faculty through the HAI Postdoctoral Fellowship Program (500 words max). Curriculum Vitae (CV) Short answer responses (300
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learning to derive principled models of cortical computation. Our newly refurbished primate facility, state‑of‑the‑art Neuropixels rigs, and high‑performance computing cluster offer an unmatched playground
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. Ph.D. (ideally completion by Summer 2025) in computer science, statistics, operations research, or related fields. Prior experience working with data, including expertise with computational methods Prior
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team with other lab members. Our lab is an inclusive space that fosters learning & curiosity, promotes team work and values mentorship to drive an innovative research program that pushes the boundaries
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for all postdoctoral scholars appointed through the Office of Postdoctoral Affairs. The FY25 minimum is $73,800. The Mackall Laboratory is seeking a creative and motivated computational immunologist to join
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on manuscripts, presentations, and research proposals Required Qualifications: PhD in psychology, neuroscience, biostatistics, computer science, or a related field. Strong interpersonal and technical skills
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research program related to the language, literacy, and culture of African Americans. They should have experience with mixed methods research in the humanistic social science tradition. As a portion of the