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may also contribute to projects related to scientific discovery agents and AI-assisted workflows for biomedical research, as well as collaborative efforts within the NHLBI AI Data Science Center, a new
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of the following areas: atmospheric convection, radiative transfer, climate change, atmospheric/fluid dynamics, or machine learning. Proficiency in numerical analysis and high-performance computing
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-performance computing, and Stanford's broader ecosystem of core facilities. Required Qualifications: Ph.D. in structural biology, proteomics, biochemistry, life sciences, or a related discipline
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, Hepatology, and Nutrition, within the Center for IBD and Celiac Disease, is seeking a creative, collaborative, and highly motivated Postdoctoral Fellow to join the Colman Lab. Embedded in the fabric of
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someone with exceptional technical skills who thrives in a collaborative team environment. ROAR Vision and Mission: A bridge between the lab and the classroom Assessments are typically time-consuming
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management. Experience working comfortably at scale: large and unwieldy data frames, high-performance computing clusters or cloud compute, and workflows that must run reliably on a fixed weekly
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will have ample opportunity and flexibility to establish collaborations with other groups and PIs we collaborate with across campus in psychology, computer science, neuroscience, and the Stanford
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methodological development and applied research. Applicants should hold a PhD in statistics, biostatistics, computer science, computational biology, or a closely related field and have demonstrated
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, preferably in single cell sorting (FACS) and analysis, immunofluorescence and confocal microscopy. • Expertise in metabolomics with mass spectrometry is desired. • Strong general computer skills, experience
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Qualifications: The Postdoctoral Research Fellow will have completed a Ph.D. with substantial emphasis on quantitative research methods relevant to population health, epidemiology, biostatistics, computer