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Cultural Resources, Partnerships, and Science Directorate Park History Program (PHP) Fellowship SummaryAmerican Conservation Experience, a nonprofit Conservation Corps, in partnership with
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and testing quantum computer control systems. Assist in developing and testing PCB boards. What is Required: Ph.D. degree in physics, applied physics, electrical engineering, or a related field within
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Job Title: NIH funded T32 Surgical Scientist Training Grant in Translational Research Location: University of Michigan Plastic Surgery Program Date Available: July 1, 2024 Job Description: The
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Fellowship Program Manager. Position Purpose: The Program Operations Specialist (POS) administers the two fellowship programs and ensures full compliance of all faculty and fellows on all training related
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 16 hours ago
completed by DEPI reviewers and summarize these reviews to generate testing datasets for LLM evaluation. Additionally the participant will research the prompt engineering techniques and LLM performance
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of the fellowship training program. Minimum Qualifications Doctor of Medicine (MD). No experience required. Preferred Qualifications M.D. or D.O. degrees will be accepted. Completion of a clinical residency program
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of the fellowship training program. Minimum Qualifications Doctor of Medicine (MD). No experience required. Preferred Qualifications M.D. or D.O. degrees will be accepted. Completion of a clinical residency program
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/Environmental Engineering Job Description Develop advanced designs and nonlinear analysis and modeling of materials and structural members and systems under severe loading including Blast and Impact. The position
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team environment, including backgrounds in biology, chemistry, earth sciences, statistics, physics, energy technologies, materials science, engineering, and computer science. Analyze and summarize data
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fellow. Highly motivated individuals with a PhD in computer science or bioinformatics are encouraged to apply. We create statistical, machine learning, and deep learning approaches for the processing