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from multiple disciplines and institutions. Required: PhD in in computer vision, machine learning, artificial intelligence, or a closely related field. Strong background in machine learning / computer
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Current UC employees must apply internally via SuccessFactors You are invited to submit an application to be considered for one of multiple vacancies of the same position. Founded in 1819
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About the Opportunity About the Institute Do you want to be part of an exciting new Institute focused on combining human and machine intelligence into working AI solutions? We are launching a
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working will be considered. Contract type: Fixed term contract Fixed Term Period: For 30 months Salary: Full time starting salary (if close to completing PhD) is normally in the range of £28,929 per annum
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 2 months ago
communities. CFPR’s mission is to focus on the integration of research, policy, and practice by conducting research and disseminating evidence-based findings to inform policymakers and to enhance program
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disciplines and create an environment for interdisciplinary research. The research program of ACER is multidisciplinary, with faculty members from backgrounds in Chemistry, Chemical Engineering, and
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leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty. Today, we are ranked #2 for AI and Computer Science by US News Best Global
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Description Postdoctoral positions are available in Cengiz Pehlevan’s research group at Harvard University. Our group investigates how intelligence emerges from the collective dynamics of simple processing
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the Gallery are conducive to teaching that engages students’ multiple intelligences and can train them to be analytical observers, agile thinkers, and empathetic individuals. The fellow will participate in
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and statistical genetics. Potential research projects include (but are not limited to) developing statistical methods and theory for large-scale multiple testing, variable selection, spectral clustering