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work directly with Alexander Vezeridis, MD, PhD, on active projects and will have the opportunity to contribute to project design and direction. This position is ideal for researchers looking to deepen
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-quality research, including theoretical and/or empirical contributions Required Qualifications: PhD in computer science, operations research, applied math, statistics, or a related field Strong background
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Prevention Research Center, an interdisciplinary research program on the prevention of chronic disease, is seeking MD, PhD, and other post-doctoral level applicants for research fellowships. Fellows gain
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cloud computing tools and big data workflows A track record of completed research projects Well-written, peer-reviewed papers are expected Interest in using EHR metadata, wearable sensors, and process
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Fellows Program offers fellowships to outstanding new PhDs who have a demonstrated ability to generate high-quality, policy-relevant research on critical issues related to global development. We invite
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Hernandez-Boussard, PhD (link is external) at boussard AT stanford DOT edu, and include all required application materials. If you have general questions, please contact the Boussard Lab Program Manager
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external) Candidates from a diverse background are encouraged to apply. The applicant may hold a PhD either in physical sciences/engineering with a strong interest in translational research and motivation
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disciplines such as physics, statistics or math. Have acquired machine learning, generative AI and computer science. Welcome either wet or dry background or both. Be highly creative, rigorous, collegial and a
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presentations). Evidence of their contributions to their current research communities. Track record of mentoring more junior scholars. Required Qualifications: PhD in computer science, electrical engineering
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learning, expanding our lab’s core strengths in behavioral and computational approaches to studying social cognitive development. Mentorship Structure The postdoctoral fellow will be mentored by Professor