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with electronic health record (EHR) and/or clinical data. Proficiency in Python, with strong coding and debugging skills. Experience with deep learning frameworks such as PyTorch, JAX, TensorFlow
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latent variable models (especially factor analysis, item response theory, and growth modeling) and coding in R. Strong collaborative skills and ability to work well in a complex, multidisciplinary
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response theory, and growth modeling) and coding in R. Strong collaborative skills and ability to work well in a complex, multidisciplinary environment across multiple teams, with the ability to prioritize
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building and deploying prediction models • Strong data science coding skills in programs and languages such as Python, R, Stata, and SQL • Experience with research in healthcare domains preferred
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to the microbiome/metabolome. Superb quantitative background, strong coding skills (e.g., Python, R, MATLAB). Strong computer skills, experience with databases and scientific applications, and ability to quickly
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pathologies. Questions we are interested in studying include: 1) What are the ion channels that mediate pressure sensing in the eye? 2) What physiological roles do these channels play in the eye? 3) Do
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the current understanding of the development of corticospinal motor neurons from stem and progenitor cells. Our laboratory is particularly interested in microRNAs - small non-coding RNAs that simultaneously
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-author manuscript with related analysis code and references later during the recruitment process. Stanford is an equal opportunity employer and all qualified applicants will receive consideration without
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of renewal. Required Qualifications: • Doctoral degree with quantitative training (ideally in econometrics) or relevant research experience. • Strong coding skills in R, Stata, or other statistical software