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intellectual perspectives these backgrounds bring. Prof. Lynette Cegelski is Professor of Chemistry and, by courtesy, of Chemical Engineering at Stanford and is affiliated with the Stanford Biophysics Program
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modeling and research leadership. Excellent organizational skills and the ability to maintain meticulous records. Ability to plan and prioritize own work to meet deadlines, including using initiative to plan
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of innovation in pain research, education, and patient care. Our postdoctoral program has successfully transitioned fellows into independent research careers; many have achieved their own NIH K/R grants and
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. The postdoc will be expected to take intellectual ownership of a research program, lead scientific manuscripts, present findings at national and international meetings, and collaborate with clinical and
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data analysis, machine learning and computer vision. The position will be based at Stanford University. The fellowship has two primary goals: to advance our research program on the health impacts
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available as part of the Stanford Training Program in Ethical, Legal, and Social Implications (ELSI) Research and at the Center for Integration of Research on Genetics and Ethics (CIRGE). Candidates from
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to continue for a second year; any reappointment is contingent on satisfactory progress, program need, continued funding, and Stanford University approval. The appointment includes eligible medical, dental
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(but not limited to) the qualifications of the selected candidate, budget availability, and internal equity. Pay Range: $80,000–$95,000 Postdoc in the modeling of laboratory workflows to program self
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comparison. Supporting this program—and this position—are NIH awards under NIMH’s priority initiative, Individually Measured Phenotypes to Advance Computational Translation in Mental Health (IMPACT-MH), and a
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molecular epidemiology studies of traits related to cardiovascular disease using large-scale population biobanks including but not limited to the Million Veteran Program (>1.1M), the Women’s Health Initiative