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kindergarten and first grade? These questions represent long-standing scientific challenges with significant implications for dyslexia screening and intervention. We address these questions through an innovative
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computer science, earth systems science, economics, engineering, health policy, political science, and sociology—to pursue policy-relevant research on topics related to international development and poverty
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and a research angiography suite (Zeego Lab), and partner closely with leading researchers across engineering, materials science, biology, clinical medicine, and industry. The successful candidate will
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Postdoctoral position in Computational Immunology We are looking for two motivated postdoctoral researchers to work on human macrophage biology in the Department of Pathology at Stanford. Successful candidates
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are seeking a postdoctoral scholar in computational biology to work in the laboratory of Professor Sylvia Plevritis in the Department of Biomedical Data Science at Stanford University. This research opportunity
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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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, data science, or a related field are encouraged to apply. A candidate who has recently submitted the PhD thesis or is about to submit the thesis is encouraged to apply. A strong computational background
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scientific excellence. Research investigation in population science is essential to ensure that discoveries from molecular medicine and clinical trials translate to routine practice and ultimately decrease
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the clinical context that underlies phenotype definitions and labeling decisions. Required Qualifications: A Ph.D. in biomedical informatics, data science, computer science, statistics, or a related field is
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preferred. Profound experience in statistical and computational approaches. Proficiency in scientific programming (e.g., R or Python) and scripting in research environments is required. Substantial experience