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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
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equivalent degree from an epidemiology, biostatistics, data science, computer science, or related programs with an interest in population health measures to apply. The scholar will join a vibrant and growing
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conjunction with the Basic Science and Engineering (BASE) Initiative of the Children's Heart Center at Stanford University and the Department of Genetics to work on understanding mechanisms of pulmonary
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, metrics, and policies needed to guide a world powered by transformative AI (TAI). TAI, which is expected to reshape productivity, scientific progress, labor markets, and wealth distribution, presents
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preparation and presenting findings at scientific conferences. Required Qualifications: Education: PhD required in engineering, neuroscience, biostatistics, bioinformatics, computer science, or a related
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Epidemiology and Population Health Med: PCOR Health Policy Neuroscience Institute Medicine, Biomedical Informatics Research (BMIR) Biomedical Data Sciences Postdoc Appointment Term: 1-3 years Appointment Start
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Postdoctoral Affairs. The FY25 minimum is $76,383. The Stanford Natural Capital Project seeks candidates to support a research program aimed at the implementation and scaling of natural capital approaches within