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are in compliance with the necessary trainings (both at the lab and at the institutional level). Minimum Education and Experience: A PhD degree in Computer Science, Electrical/Computer Engineering, or a
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 15 hours ago
Graphics Design (6 ) Computer, Information, and Data Sciences (17 ) Earth and Geosciences (21 ) Engineering (27 ) Environmental and Marine Sciences (14 ) Life Health and Medical Sciences (46
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 05-Mar-26 Location: New Brunswick, New Jersey Categories: Academic/Faculty Biological/Biomedical Sciences Internal
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 8 days ago
Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 26-Feb-26 Location: Chapel Hill, North Carolina Categories: Academic/Faculty Computer/Information Sciences Internal
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 03-Mar-26 Location: Abu Dhabi Categories: Academic/Faculty Internal Number: 140742 The Center for Genomics and
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: 282551680 Postdoctoral Research Associate/Research Program in Development Economics (RPDE) D-26-SPI-00010 | Research | Princeton School of Public and International Affairs The Research Program in Development
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curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering (ECE) ranks among the best in the country. Our research programs are at the forefront
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APCTP, Office of Research Support Program ID: APCTP-ORS-POSTDOC [#31612] Program Title: Young Scientist Training(YST) Program 2026 Program Type: Postdoctoral Location: Pohang, Gyeongsangbuk-do 37673
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simulations Position Profile The successful candidate will contribute to ongoing computational research projects within the group and collaborate with leading international theoretical and experimental partners
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. The successful candidate will work in the Data Science and Learning division of the Computing, Environment, and Life Sciences directorate of Argonne National Laboratories. Primary responsibilities will be