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Work Location Lexington, KY Grade Level 48 Salary Range $62,941-103,834/year Type of Position Staff Position Time Status Full-Time Required Education PhD Click here for more information about
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who has strong technical background in machine learning (ML) and artificial intelligence (AI), ideally on large language models, natural language processing, and/or foundation models. This is a 3-month
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University of Massachusetts Dartmouth | Dartmouth, Massachusetts | United States | about 6 hours ago
the successful candidate will be an engaging and effective teacher with a strong commitment to student learning and success. Responsibilities include teaching undergraduate and graduate physics courses including
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 4 hours ago
the potential to teach other chemistry courses in line with the candidate’s area of expertise. This is a renewable, nine-month, non-tenure track position with the possibility of contributing to summer teaching
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) PhD degree (or foreign equivalent) in Electrical Engineering or a closely related field in hand by
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supermassive black holes through a combination of observational data, machine learning techniques, and cosmological simulations. The group is actively involved in multiple JWST Guaranteed Time Observation (GTO
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availability of continued funding. Additional responsibilities include: Mentoring PhD students and collaborating with academic and industrial partners Participate in the preparation and writing of journal
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 4 hours ago
begin in August 2026. The successful candidate will be expected to teach undergraduate and graduate courses in physical chemistry, including associated laboratory courses, as well as other courses aligned
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, the Frontier supercomputer, and collaborate with experts in machine learning, optimization, electric grid analytics, and image science. The successful candidate will design and implement differential privacy
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to effective therapeutic strategies targeting IDPs Collaborate on the development of open-source machine learning tools to support these therapeutic designs Work closely with high-throughput screening teams