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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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Implementing Bayesian networks and uncertainty quantification techniques to account for sensor noise and model confidence limits Designing, training, and fine-tuning computer vision models to extract clinically
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: Experience with surrogacy analyses using regression model and/or meta-analytic model including Bayesian methods and knowledge of continuous glucose monitoring data (or any digitally derived endpoint data
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relationships, methods for inferring gene families and for inferring evolutionary events from large collections of gene families; (b) conduct writing within scientific manuscripts. Mentor(s): The mentor
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such as an research track sprayer, leaf area meter, root scanner, and LI-COR photosynthesis systems; Develop strong competencies in collecting, processing, and analyzing plant samples to characterize
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guidelines, and treatment protocols. We are developing a novel system for extremity trauma outcome measures tracking. We focus on traumatic extremity injuries and amputations with a specific focus on tracking
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gain guided exposure to laboratory information management systems (LIMS) and learn how electronic systems support specimen tracking, analytical data transfer, record completeness, traceability, and
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collection to include neuropsychological assessments, physiological tracking, and self-report methodologies of military personnel. Learning how randomized controlled trials evaluating psychological and
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other chronic diseases. An important component of a public health response to address these behaviors is surveillance. Surveillance is used to track the behaviors as well as their environmental and
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of wildlife ecology and/or infectious disease dynamics outside of a lab setting and collaborating with management agencies. Previous experience organizing spatial data, animal tracking data, publishing