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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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clinical data from large cohort studies on immune-mediated inflammatory diseases including psoriasis and rheumatoid arthritis. The PDRA will lead on research across all three objectives, taking first
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with researchers both at Stanford and the U.S. Census Bureau. The position is open to recent graduates of PhD programs in economics, statistics, sociology or related data science fields, preferably with
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in the transgender and gender diverse population in the Clinical Research Practice Datalink, a large research database of de-identified UK primary care data, as well as other datasets Our Future Health
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 9 hours ago
missions (e.g., Surface Biology and Geology - SBG). This could involve advancing atmospheric correction, dimensionality reduction, or machine learning approaches for handling big data in order to improve
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engineering. We seek candidates with an interest in participating in large multi-PI grants and with collaborative research experiences, experience writing proposals for user-facilities, and/or experience
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Scholar to join a Sloan Foundation–funded research project led by Prof. Eamon Duede . The project investigates how the rapid emergence of artificial intelligence (particularly large language models) is
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project. The project is part of a large collaborative research effort involving Imperial College London, University of Bristol and three other groups at Cambridge. More information about the overarching
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Systems employs more than 200 people, of which about 90 are PhD students, and about 40 % of all employees are internationals. In total, it has more than 600 students in its BSc and MSc programs, which
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of large data sets. Determining fundamental and technical limits of a measurement, using principles such as the Cramer Rao bound and Fisher information, Gaussian process, Kalman filter, and state estimation