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agents for X-ray spectroscopy by integrating large language models (LLMs) with physics-aware spectroscopy workflows. The researcher will work closely with a multidisciplinary team of X-ray physicists and
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analysis of complex biological data, including big omics data. Dr. Floyd is Co-Director of the UW Cardiovascular Health Research Unit (CHRU) (https://chru.washington.edu/ ), where he leads a broad portfolio
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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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, 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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. We believe that cooperation and collegiality are essential elements for research successes. You can find more information about the team and our work here . The project You will join the Lund Group
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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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extensive use of surface science methods and also includes the most advanced methods of microscopy through its collaboration with VISION. Visiting large scale facilities such as synchrotrons for EXAFS and
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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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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 3 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