226 Education "https:" "https:" "https:" "https:" "U.S" Postdoctoral positions in United States
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. The salary range is $76,000-$80,000. The salary of the finalist(s) selected for this role will be set based on a variety of factors, including but not limited to, experience, qualifications, skills, education
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
://www.med.unc.edu/cidd/training-education/research-training-opportunities/ · Eligible Mentors: https://www.med.unc.edu/cidd/research/meet-our-researchers/ · Meet the T32 Directors and Current Fellows: https
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conferences, writing journal articles, and assist with mentoring students. More information about the Larsson group can be found at https://larsson-research.de/ . Some relevant publications are: Wahyutama
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physicists. The postdoc will develop mathematical theory and methods for emergent quantum states in layered media— such as bound states in the continuum (BICs)—with applications to quantum materials and
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cutting-edge research at the intersection of AI and mathematics. Develop and implement machine learning algorithms, with a focus on reinforcement learning, to solve challenging mathematical problems
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of the United States Department of Education, U.S. Department of Education, Office for Civil Rights, 400 Maryland Avenue, SW, Washington, D.C. 20202-1100; Telephone: 1-800-421-3481 FAX: 202-453-6012
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of the Ocean Observatories Initiative Regional Cabled Array (https://oceanobservatories.org/regional-cabled-array/ ) that land in Pacific City, Oregon. One cable runs 500 km west to Axial Seamount, while
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strengthen U.S. leadership in QIST. This calls for expertise across disciplinary sciences – encompassing quantum information theory, physics of quantum materials – to develop new design principles for scalable
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for this position is $75000 - $81000 / year. You will be placed at the level and salary commensurate with your experience. Salary offers will be commensurate with the final candidate’s qualification, education and
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data-model integration, leveraging the U.S. Department of Energy’s (DOE) Leadership-Class Computing Facilities to advance predictive understanding of complex environmental systems. Major Duties