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primates or humans – Theoretical neuroscience, machine learning, or AI • Proficiency in Python, MATLAB, or equivalent data‑analysis frameworks. • A passion for big‑picture questions, open science, and
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Expertise in machine learning, including 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
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collaborated with social scientists Expertise in machine learning, particularly in computer vision and in relation to multimodal sensing data, mobile crowdsensing technology, and predictive modeling Strong data
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experimental platform for spatial multi-omic analysis of biological tissues. Our lab builds biological measurement infrastructure—engineering systems that standardize how information is extracted from complex
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opportunity to work with other faculty and PIs at Stanford. This position's priority project will drive cutting-edge research at the intersection of economics and transformative AI, contributing to an ambitious
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for all postdoctoral scholars appointed through the Office of Postdoctoral Affairs. The FY27 minimum is $79, 056. Our lab recently developed a new methylation profiling technology, FLEXseq (PMID: 39651174
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receptor (CAR) T-cell therapies for pediatric solid tumors. The Ramakrishna laboratory focuses on optimizing CAR T-cell therapies for children with cancer by learning about the biology of these CAR T-cells
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Departments and Centers: Biology Woods Institute Postdoc Appointment Term: Initial appointment is one year, with a second year contingent on funding, adequate progress, and mutual agreement Appointment Start