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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
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through the Stanford Impact Labs Postdoctoral Fellowship Program (link is external) with Profs. Irene Lo, Itai Ashlagi, and the Stanford Impact Lab on Equitable Access to Education Postdoctoral Fellow
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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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) seeks a postdoctoral researcher in the application of Data and Knowledge Science to smart and sustainable civil and industrial infrastructures and cyber-physical systems. Areas of particular interest
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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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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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omics to advance biological and clinical discoveries and develop next-generation theragnostics. The postdoctoral fellows will mainly focus on (1) creating novel computational algorithms to analyze and
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. (Applicants advancing in the review process may be asked to submit additional materials, including letters of recommendation, and may be invited to interview.) Complete applications will include: Cover letter
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would include: Co-developing a hybrid machine learning/process-based model of anaerobic digestion processes Performing techno-economic and lifecycle analysis of microgrids build around novel biogas-fueled
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new areas of research that cross classical disciplinary boundaries. Our department studies the surface and interiors of the Earth, Moon, and planets through laboratory experiments, computational and