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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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, robust, and reproducible data analysis. Conventional statistical approaches will be combined with innovations in interpretable machine learning to address each aim from multiple angles. Analysis code will
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Sciences Postdoc Appointment Term: 2 Years Appointment Start Date: July 15, 2024 How to Submit Application Materials: For full consideration, send a complete application in a single PDF to Prof. Jef Caers
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Posted on Sun, 07/06/2025 - 08:45 Important Info Deprecated / Faculty Sponsor (Last, First Name): Recht, Lawrence Other Mentor(s) if Applicable: Prof. Daniel Spielman, Department of Radiology
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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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Qualifications: • Doctoral degree with quantitative training (ideally in econometrics) or relevant research experience. • Strong coding skills in R, Stata, or other statistical software package. • Good
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Experience in R, python or another scientific programming language Experience collaborating on and documenting, sharing, and managing code with version control Leadership experience Required Qualifications