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, molecular biologists, bioinformaticians, epidemiologists, and other public health professionals. Research and training activities may include: Participating in the development, optimization, evaluation, and
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data collected longitudinally across the post-infection study time course to optimize machine learning methods that predict disease outcomes and identify host factors and interactions that most heavily
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carrying out mentor-guided experiments for method development, optimization, and validation to assess performance characteristics such as accuracy, precision, analytical measurement range, limits
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stage of the biomonitoring project associated with the appointment. Analytical method development and optimization – You may gain experience designing and carrying out mentor-guided experiments
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techniques. You will have the opportunity to participate in various projects utilizing artificial intelligence (AI) and machine learning (ML) to develop applications that optimize combat casualty care
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participate in the design and optimize processes to improve ingredient functionality, create distinctive flavors, and eliminate off tastes. Learning Objectives: You will be able to learn from multi-disciplinary
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improved soil quality Incorporating novel approaches to soilborne pest management into existing production systems Optimizing production systems to maximize product quality and nutrition Learning Objectives
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industrial desert crop to farmers in the south western US as an alternative to high water requiring crops such as as cotton and alfalfa. Current methods will be optimized and new methods may be invented and
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of microbial genetics and physiology to optimize fermentation strategies through novel strain development and modification of bioprocessing parameters. Learning Objectives: You will gain experience in
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human performance optimization. About ORISE This program, administered by Oak Ridge Associated Universities (ORAU) through its contract with the U.S. Department of Energy (DOE) to manage the Oak Ridge