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visual representation and analysis of large-scale 2D/3D scientific data. This position resides in the Data Visualization Group in the Data and AI Systems Section, Computer Science and Mathematics Division
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equivalent) in hand by December 2025. Related research experience in atmospheric observation and data analyses. Preferred Qualifications: Ph.D. (or foreign equivalent) in Atmospheric Sciences, Engineering
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(CHX, 11-ID) beamline at NSLS-II seeks a postdoctoral researcher with a strong background in computational imaging, data science, or scientific computing. This position will focus on developing advanced
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of Medicaid, Medicare, and private insurance data and the application of social science theory and advanced statistical techniques in large data sets. Statement Posting Details Special Instructions
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to the projects, executing experiments proficiently and timely, and analyzing data professionally. The scientists are expected to handle multiple projects, to write scientific papers and reviews, and to present
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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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in analysis of large complex data sets, as evidenced by application materials. Strong interpersonal communication skills, as evidenced by application materials. Demonstrated willingness to help mentor
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be made better. This is a role for a researcher excited to work with big, messy, real-world data, motivated not just by building models but by improving systems: how clinicians work together, how
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for critical energy and technology sectors. Ability to assess the economic and operational impacts of large-scale AI adoption (e.g., data centers, compute infrastructure) on U.S. electricity demand, generation
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proficiently and timely, and analyzing data professionally. The scientists are expected to handle multiple projects, to write scientific papers and reviews, and to present work in scientific conferences