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working with large healthcare datasets (EHRs, claims, registries). Proficiency in R or Python. Strong quantitative skills and familiarity with advanced modeling techniques. Excellent written and verbal
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labs at Stanford to tackle emerging clinical questions in oncology, utilizing various AI methods, predictive modeling approaches, and large language models. Specific areas of interest include but are not
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spectrometry and animal models would be valuable but is not essential. Required Application Materials: Candidates should submit their CV. They will be asked for 3 individuals who can serve as a reference
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be made better. This is a role for a researcher excited to work with big, messy, real-world data, motivated not just by building models but by improving systems: how clinicians work together, how
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large-language model applications in healthcare systems, systematically identifying ineffective clinical processes, bioinformatics analyses of population health, as well as more conventional outcomes
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chain network analysis and geospatial modeling. The successful candidate will have strong data science skills, including experience working with large, complex data from varied sources, and machine
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Postdoctoral Affairs. The FY25 minimum is $76,383. Integrating Natural and Cultural Data: Focus Area, Indian Ocean Data gathering, assessment, and modeling across disciplinary divides offers an optimal approach
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-cigarette nicotine vapor, augment model AAA. Exposure to tobacco smoke, nicotine, and vaping can cause cellular epigenetic alterations, which may be transmitted in a transgenerational fashion. Our data show
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most of our physiological responses to hormones, neurotransmitters and environmental stimulants. We employ an interdisciplinary approach to probe, model, and predict how signaling network dynamics
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environment provides many professional growth opportunities in academia, entrepreneurship, and public service. Responsibilities include: Investigate cutting-edge techniques in system modeling, analysis, and