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industry. The Fellowship Program provides robust learning experiences related to Medical Affairs, Commercial/Marketing, Regulatory Affairs, Clinical Development, etc. The Fellow will spend the majority
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, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status
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high level of enthusiasm for interdisciplinary research, learning new skills and a demonstrated ability to well as part of a team. • Excellent organizational, communication and time management skills
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 3 hours ago
healthcare professionals and biomedical researchers from all backgrounds by facilitating learning within innovative and integrated curricula and team-oriented interprofessional education to ensure a highly
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
in large language models, machine learning, and natural language processing, combined with a collaborative spirit and a drive for problem-solving. You’ll join a multidisciplinary team that values
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, systems or molecular biology or related fields. A track record of independence, and a high level of enthusiasm for interdisciplinary research, learning new skills and a demonstrated ability to well as part
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. Preferred Qualifications • Experience with deep learning architectures applied to geophysical or environmental data. • Familiarity with physics-informed machine learning or hybrid modeling approaches
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, excluding time associated with family planning, military service, illness or other life-changing events. Candidates must have completed all PhD requirements by the commencement of employment. Brookhaven
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members with careers that leverage the skills and unique experience they gained while serving our country, learn more at BNL | Opportunities for Veterans at Brookhaven National Laboratory . Equal
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. Familiarity with machine learning (ML) techniques for optimizing models or analyzing complex datasets. Experience with space-based instrumentation or similar high-precision systems. Demonstrated expertise in