74 distributed-computing-associate-professor Postdoctoral positions at Stanford University
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science, computer science, health or environmental sciences, or environmental economics Experience with causal inference methods, especially fixed-effects regression A demonstrated interest in
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, or related field from an APA-accredited program Expertise in pediatric neuropsychological and/or developmental assessment Strong foundation in neurodevelopmental disorders, particularly experience with
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workflows for data cleaning, linkage, and analysis within Stanford’s secure computing environment. Collaborate with multidisciplinary teams of clinicians, economists, and policy researchers. Prepare
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that contributes to a high-impact global program with a mission to create a healthier world by addressing lead contamination at the source. Project Unleaded conducts policy-relevant research that positively impacts
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-author papers and present at conferences with the goal of helping the Fellow continue to build out a robust program of research. Timeline Application review will begin January 30, 2025. Applicants
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alongside a team with expertise in flood modeling and collaborators in IIT Bombay. We encourage recent graduates with a PhD or equivalent degree from an epidemiology, biostatistics, data science, computer
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., mechanical engineering, materials science, chemical engineering, electrical engineering, environmental engineering, computer science). About the group: Group alumni and their current positions (link is
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Health Epidemiology and Population Health Med: PCOR Health Policy Neuroscience Institute Medicine, Biomedical Informatics Research (BMIR) Biomedical Data Science Postdoc Appointment Term: 1-3 years
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activity. · Computational or bioinformatics experience for analysis of omics data. Required Application Materials: 1. Cover letter describing your background, programming experience, and research interests
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position to join NIH-funded projects in collaboration with the U.S. Census Bureau's Enhancing Health Data (EHealth) Program that develop new integrated data to improve our understanding of the socio-economic