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identifying structures and processes that promote high quality healthcare. Our projects apply advanced analytical methods to large databases of primarily structured electronic health record data and EHR usage
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science, substance use disorders (SUD), data science, or their intersection. Join the next generation of pain and SUD researchers at Stanford’s Pain Division and translate research discoveries into safe
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to our lab). Your curriculum vitae. Names and contact information to three reference writers. Stanford is an equal opportunity employer and all qualified applicants will receive consideration without
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is $79, 056. Rapid Online Assessment of Reading Postdoc in Operational Psychometrics and Educational Data Science Advisors: Jason D. Yeatman, Ph.D. and Carrie Townley-Flores, Ph.D. The Rapid Online
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affordance‑driven decisions. • Develop computational and theoretical models that bridge neural data and behaviour, leveraging modern machine‑learning toolkits. • Drive multi‑lab collaborations across SCENE; co
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technology. A recent example of our work can be found at Nature Medicine(link is external) , (PMID: 41530382) and further information on our lab can be seen at https://sinhalab.stanford.edu/(link is external
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underrepresented populations, making it essential to develop AI methods that can learn from real expert practice while meeting stringent privacy, consent, and data-governance requirements. The SCEC has developed
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information for 3 references Stanford is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity
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, and data science. We are especially focused on understanding the interplay between genetics, lifestyle, environment, and clinical factors on cardiovascular disease risk. Our work incorporates biobanks
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seek a highly motivated computer scientist for a post-doctoral position in our multi-disciplinary health services research center within the Department of Surgery. The post-doc will have access to unique