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Field
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: The Center for Spatial Information Science and Systems (CSISS) is an interdisciplinary research center affiliated with the College of Science at George Mason University. The mission of the Center is to conduct
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-intensive physics with nuclear/particle aspects, advanced detector R&D, machine learning and AI and emerging computational methods in quantum computing. The position is intended for an excellent and broadly
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modeling; pharmacogenomics; health informatics; data science, machine learning, or deep learning; causal inference methods Strong written and oral communication skills, with at least one first-author
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, behaviors, tools, and methods employed in the innovative activity of individuals and organizations to drive desirable outcomes from inspiration to impact. Learn more about this emerging field and exciting
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Probe (IMAP) mission in development for launch in 2025 to explore the details of particle acceleration and the Sun's interaction with the local interstellar medium. See https://spacephysics.princeton.edu
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development opportunities, including a membership to Academic Impressions, LinkedIn Learning, and UT Dallas Bright Leaders Program. Visit https://hr.utdallas.edu/employees/benefits/ for more information
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sponsorship Salary: Salary commensurate with education and experience Restricted: Yes Criminal Background Check: Yes About the Department: The Center for Spatial Information Science and Systems (CSISS) is an
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access and quality for students within and outside the University of Idaho. The research faculty will lead research efforts to explore the methods for improving instruction related to wildland fire in the
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: This position will be primarily supervised by Dr. Francis X. Shen, JD, PhD. Dr. Shen is a Professor at the University of Minnesota Law School, a member of the Faculty in the UMN Graduate Program in Neuroscience
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) at Institute for Basic Science (https://www.ibs.re.kr/ctpu-cga ), South Korea, invites applications for a senior researcher position*, which can start before December 16th, 2026 as long as all requirements