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researchers in an effort to develop medical automation research solutions. You will support various engineering and computer science aspects of the research projects focused on processing time-series data sets
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project and analyzing the malt quality data to assess potential gains in the brewing and distilling process that can be attributed to barley variety or processing methods. Learning Objectives: Under
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or processing methods. Learning Objectives: Under the guidance of a mentor, the fellows will become versed in the science of malting through the grading of raw grain, the processing of grain into malts using
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advanced methods to generate insight and reduce burden (Analytics and Artificial Intelligence). Creating trusted, ready-to-use data (Data Management). Equipping staff to work independently with data (Data
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of the agency is to provide global leadership in agricultural discoveries through scientific excellence. Research Project: This project aims to develop a captive breeding program for lumpfish and improve current
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collaborate with the Puerto Rico Coastal Zone Management Program (PRCZMP) within the Department of Natural and Environmental Resources (DNER). PRCZMP specializes in building and maintaining partnerships
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management practices from a time series dataset. We expect that the participant will use econometric methods to approach this research objective. Learning Objectives: The ORISE participant will learn about
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breeder to transfer their endophytic microbes to susceptible cultivars, akin to the “fecal transplant” concept. Once the microbial symbiont is isolated that contributes to disease resistance, methods
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: Biological and Biotechnology Sciences; Electromagnetic Spectrum Sciences; Energy Sciences, Humans in Complex Systems; Mechanical Sciences; Military Information Sciences; Network, Cyber, and Computational
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and prepare for readiness during operational tasks. The team is further exploring novel AI method developments, including applied mathematical and machine learning solutions for real-time use. Why