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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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of extracellular vesicles (EVs) in modulating immune responses. Key Responsibilities: Design and execute experiments using a variety of techniques, including flow cytometry, CyTOF, spatial proteomics, cell culture
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Fellow applicants interested in investigating the neural basis of natural behavior in amphibians. Current funded projects in the lab include building neuroscience tools for amphibians and studying
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Models with Algorithmic Reasoning Tasks We are seeking a postdoctoral researcher to contribute to our lab’s mission of aligning machine learning (ML) models with algorithmic reasoning tasks. Our goal is to
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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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to the in vivo study of retinal ganglion cell and astrocyte signal transduction. Current research in the Kapiloff lab addresses how calcium/calmodulin protein kinase II and cAMP signaling contribute
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to evaluate and model the health consequences of emissions of NOx, benzene, CO, and additional gaseous pollutants from natural gas stoves and other appliances. The exposure measurements and modeling will build
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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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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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the current technologies emerging in the stem cell field to develop novel regenerative therapies to address unmet clinical needs in the care of vascular surgery patients, largely aimed at preventing the need