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data analysis, machine learning and computer vision. The position will be based at Stanford University. The fellowship has two primary goals: to advance our research program on the health impacts
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secondary home in the Politics and Social Change Lab(link is external) (PASCL). Research program AI is changing how people learn, decide, and get help. At AI4PB, we study that change with curiosity, care
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is external) , at Stanford University School of Medicine, Stanford, California, and the Stanford-affiliated VA Palo Alto Health Care System. A successful applicant will be immersed in cutting-edge
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comparison. Supporting this program—and this position—are NIH awards under NIMH’s priority initiative, Individually Measured Phenotypes to Advance Computational Translation in Mental Health (IMPACT-MH), and a
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computational biology and bioinformatics and have made discoveries that are opening the door to possible new treatment approaches to diseases without therapies as well as ways to improve medical care using
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control at the ER. This position offers substantial opportunities for scientific independence and creativity. The successful candidate will help shape the direction of the project, develop and apply
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: Cover letter that includes a brief description of relevant prior projects and a short plan for how you would approach imaging-based prediction of treatment response in surgical care Cv Writing sample
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(e.g., All of Us, UK Biobank, and Million Veteran Program), traditional cohorts (e.g., Women’s Health Initiative), and local Stanford data. Lab members have access to state-of-the-art computational
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individuals A trial testing an adapted version of CPT for individuals who use opioids, delivered within syringe service programs A trial testing an integrated CPT and Relapse Prevention (RP) intervention All