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, and those with experience analyzing biobank data and/or expertise in machine learning will be prioritized. Candidates who demonstrate readiness to define and lead new research projects are highly
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biological plausibility, and raise the computational and virological capability of the group as a whole. The successful candidate will be teaching us as much as learning from us. Required: A PhD in
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interventions to mitigate the harmful impacts of environmental change. The position is geared for a recent PhD graduate with interest in collaborating across disciplines, and expertise in remote sensing, spatial
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or Python) is desired Doctoral degree (PhD, MD, or equivalent) conferred by start date Required Application Materials: Curriculum Vitae Cover letter detailing research interests and career goals Up to three
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training and will collaborate with PhD students, postdoctoral scholars, faculty, research staff, and external partners. Stanford collaborators include HAI, the Stanford Technology, Impact, and Policy Center
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creative, rigorous, collegial and a great team player Holders of either PhD and/or MD degrees are welcomed to apply. Qualified non-US residents/citizens are also welcomed to apply. Required Application
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with standard software packages related to next-generation sequencing, genomics, and epigenetics. Track record of productive research through first author, peer-reviewed publications. A self-starter