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. Discipline(s): Computer, Information, and Data Sciences (17 ) Engineering (8 ) Mathematics and Statistics (11 ) Age: Must be 18 years of age ORISE GO The ORISE GO mobile app helps you stay engaged
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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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, you will receive hands-on learning within the USACE hydrological research domain, with a focus on gaining experience on process-based flood frequency analysis and interagency collaboration between USACE
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titration, TGA and SEM. During the appointment, You will: Learn about microwave heating technologies and biomass pyrolysis processes. Develop skills in statistical design of experiments. Gain experience with
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have an interest in substance use, posttraumatic and/or operational stress, suicidality, and artificial intelligence/machine learning (AI/ML). What will I be doing and why should I apply? As the selected
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quality and consumer satisfaction. You will also apply statistical and machine-learning tools to explore how physical and chemical fiber parameters relate to dye uptake behavior, dyebath exhaustion, color
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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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formation, removal and sanitation of food - contact surfaces Learn to optimize processes related to emerging interventions to control pathogens such as Salmonella spp., E. coli, and L. monocytogenes, in
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through scientific excellence. Research Project: This project entails collaborating on a clinical intervention study to investigate the impact of the physical processing of food on ingestive behaviors and
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and consumer product quality, and development of novel, sustainable and marketable goods from sugar processing co-products. Learning Objectives: This experience will provide hands-on learning in