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reliable predictive tools in clinical use and mechanisms of resistance to standard checkpoint therapy are poorly understood. Our lab joins the intersection of basic cancer immunology, patient-derived
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a bachelor’s degree in neuroscience, engineering (biomedical, mechanical, electrical), biology, psychology, or a similar field with a strong data science background. Previous experience in motor
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diseases and host-microbe interactions. Our research program employs murine infection models and brings together immunology, tissue biology, microbiology, and genetics to uncover fundamental mechanisms
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The CLEAN Lab at Stanford University is seeking a highly motivated and talented Postdoctoral Scholar to join our dynamic research team. The CLEAN Lab focuses on investigating the mechanisms
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datasets. The prospective candidate will investigate the genomic basis of coronary artery disease and related complex diseases, with emphasis on identifying mechanism and modifiers of response to known
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predictive tools in clinical use and mechanisms of resistance to standard checkpoint therapy are poorly understood. Our lab joins the intersection of basic cancer immunology, patient-derived modeling
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computer science, law, and public policy with a unique platform to lead AI policy research that is both technically sound and institutionally pragmatic, placing you at the vanguard of shaping the future of AI
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Open postdoctoral position through the Stanford Impact Labs Postdoctoral Fellowship Program with Profs. Irene Lo, Itai Ashlagi, and the Stanford Impact Lab on Equitable Access to Education. Stanford
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The Huttenhain Lab at Stanford University is looking for postdoctoral fellows to study mechanisms of intracellular signal integration through G protein-coupled receptors (GPCRs). To elucidate
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strong drive to discover fundamental mechanisms of protein function. Our laboratory's research is centered on proteins that play a crucial role in nutrient sensing and nutrient trafficking, with a