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analysis are preferred. Successful candidates must demonstrate expertise in MR Physics, computer programming, critical scientific thinking, and creativity. Applicants will be expected to help develop novel
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 13 hours ago
of Veterinary Medicine; and MU Institute for Data Science and Informatics at University of Missouri (MU). The Wan Lab currently holds more than $28 million in committed grant funding. The lab is physically
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-summaries/UUP-FT-Benefits-at-a-Glance-Jan-2025.pdf Requirements: Minimum Qualifications: Doctoral degree in electrical engineering, physics, computer science, applied mathematics or related fields from
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 20 hours ago
Posting Information Posting Details Department Renaissance Computing Inst - 637100 Posting Open Date 07/29/2025 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar Position
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the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete
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University of California, Berkeley, Department of Electrical Engineering and Computer Sciences Position ID: University of California, Berkeley -Department of Electrical Engineering and Computer
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Fellowship Position on Condensed Matter Theory Location: Shanghai, Shanghai 200240, China [map ] Subject Areas: Physics / Condensed Matter Physics , Condensed Matter Theory , Quantum Computation , Theoretical
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computer applications used for data recording, analysis, and reporting. Physical Demands and Working Conditions Physical Activities Working Conditions Additional Information Remote Work: A hybrid remote work
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the Association of Public Health Laboratories and is associated with the University of Iowa Department of Chemistry Radiochemistry Graduate Certificate Program. The postdoctoral scholar will leverage this support
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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials