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Objectives: During this appointment, you will have the opportunity to: Learn to conduct research focused on developing value-added products from low-value biomass, including plant and animal residues, food
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related area, including meteorology, hydrometeorology, remote sensing, surface and atmospheric modeling, or related fields. Experience in machine learning techniques are highly desirable. Please see https
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, and tools needed to conduct rigorous investigations, communicate findings effectively, and respond to environmental health concerns using consistent, science-based approaches that protect and promote
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, including host suitability, vector behavior, vector competence, and factors that influence pathogen transmission and disease risk across agricultural landscapes. Opportunities will be available to integrate
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, along with related risk factors. Learning Objectives: You will have the opportunity to advance your skills, under the guidance of a mentor, to: Conduct literature reviews and identify existing gaps and
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to approximate expensive forward and adjoint simulations while preserving underlying physics. Uncertainty-aware inference: combining physics-informed learning for regularization with probabilistic generative
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missions (e.g., Surface Biology and Geology - SBG). This could involve advancing atmospheric correction, dimensionality reduction, or machine learning approaches for handling big data in order to improve
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health in forests was documented as a challenge they have encountered when collaborating with landowners. This project will conduct a systematic and/or meta-analytic literature review to quantify the net
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Research Laboratory, please visit https://afresearchlab.com/. About ORISE This program, administered by Oak Ridge Associated Universities (ORAU) through its contract with the U.S. Department of Energy (DOE
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-guided learning activities may draw upon biomonitoring projects associated with CDC’s National Health and Nutrition Examination Survey (NHANES) and similar epidemiological studies of the U.S. population