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inference) Algorithmic development for bilevel (or multilevel) optimization Methodological developments in Bayesian statistics and/or decision analysis Application of adversarial risk analysis within security
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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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, texture profile, and other key techno-functional properties. Learning Objectives: Under the guidance of a mentor, the participant will learn to: develop and optimize procedures for extracting plant proteins
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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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process of continuous germplasm improvement, discovery trait research and methodology optimization to reach greater breeding efficiency. The general research technologies/methodologies and approaches
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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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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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-resistance phenotypes. You will gain experience applying AI, genomics, and bioinformatics, from foundational AI/ML concepts to hands-on application and optimization of DNA and protein language models
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for the identification of molecular mechanisms conferring growth/survival advantages to bacteria in food as well as identify potential biomarkers of persistence. Further activities include troubleshooting and optimizing
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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