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ecology, remote sensing, and computer science. UAV imagery and increasingly sophisticated and targeted AI algorithms can estimate forage quality, biodiversity, and the abundance of individual plant species
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-Informed Neural Networks (PINNs) and hybrid models that respect the physical laws governing the real-world system Applying Deep Reinforcement Learning (DRL) algorithms to optimize processes within simulation
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independently, preparing reports and presentations, exercising your critical thinking and collaborating with colleagues from other scientific disciplines. This is an educational and developmental program in
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and computational modeling applications in drug development and use of artificial intelligence for data mining. You will gain experience in regulatory toxicology assessment, computational modeling
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scientists and subject matter experts. The opportunity also includes educational exposure to generic drug user fee program planning, workflow analysis, process documentation, and knowledge management
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provides policy making, program direction, coordination, liaison, and expert advice to agency leadership and programs in support of FDA's science-based regulatory efforts. Research Project: You will
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in project-specific research and developmental activities at the Office of Commissioner (OC). OC provides policy making, program direction, coordination, liaison, and expert advice to agency leadership
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Residents (LPR) only. This program, administered by ORAU through its contract with the U.S. Department of Energy to manage the Oak Ridge Institute for Science and Education, was established through
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to U.S. citizens, Lawful Permanent Residents (LPR), and foreign nationals. Non-U.S. citizen applicants should refer to the Guidelines for Non-U.S. Citizens Details page of the program website
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nationals. Non-U.S. citizen applicants should refer to the Guidelines for Non-U.S. Citizens Details page of the program website for information about the valid immigration statuses that are acceptable