230 machine-learning-"https:" "https:" "https:" "https:" "https:" "University of St" "St" positions at Zintellect
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Service (ARS), located in St. Paul, Minnesota. The Agricultural Research Service (ARS) is the U.S. Department of Agriculture's chief scientific in-house research agency with a mission to find solutions
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generated quickly and regularly. Help develop machine learning techniques for feral swine abundance in data sparse environments. Collaborate with APHIS Wildlife Services (WS) to integrate data and model
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to multidisciplinary research aimed at advancing military medicine. What will I be doing? This opportunity offers a hands-on learning experience within a collaborative research environment focused on combat casualty
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markers, and determination of bacterial and virus disease titers. Learning Objectives: Learn theory, methods, and skills to propagate citrus plants, prepare plants for greenhouse and field research, and to
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research applying artificial intelligence (AI) and machine learning (ML) techniques to analyze cervid movement patterns. GPS telemetry data obtained from free ranging cervids will be used by the participant
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high school seniors, who are pursuing undergraduate studies in STEM, with an opportunity to explore the world of agricultural science through hands-on learning experiences. Participants will have the
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manufacturing) extracellular vesicle manufacturing and characterization high content imaging biomaterials bioreactors multiomics (proteomics/metabolomics) immunology machine learning/AI single cell profiling
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, assessing enrollment patterns, and analyzing sex-specific treatment outcomes. Learning Objectives: Under the guidance of a mentor, you will: Gain foundation knowledge in antiretroviral drug classes, meta
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for FDA reviewers. Learning Objectives: You will receive comprehensive training in eCTD submission processes, NDA/BLA regulatory pathways, R programming for web-based visualization, and R Shiny application
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necessary to become credentialed as a Principal Investigator Applying a broad range of statistical and machine learning methods to human performance data collected in real-world settings Developing