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and capability gaps. Learning Objectives: Through this opportunity, you will gain knowledge and practical experience in biosurveillance, emerging biological threats, public health preparedness, program
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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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technology or Artificial Intelligence (AI) tools to solve business or administrative problems, demonstrated knowledge with Machine Learning (ML) and AI tools. Strong integration experience in enterprise
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) extracellular vesicle manufacturing and characterization high content imaging biomaterials bioreactors multiomics (proteomics/metabolomics) immunology machine learning/AI single cell profiling Point of Contact
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the shallow subsurface (<10 meters depth). Experience with soil moisture/salinity and sapflow sensors. Experience using neural networks and machine learning tools. Stipend $70,000.00 – $80,000.00 Yearly Point
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watershed modeling Experience with analysis of geospatial data and time series data Experience with machine learning and statistical learning Experience with large, diverse datasets Familiarity with
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will I be doing? Under the guidance of a mentor, you will learn and gain hands-on experience to complement your education and support your academic and professional goals. This includes, but is not
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Countries can be found at: https://www.nasa.gov/oiir/export-control . Eligibility is currently open to: U.S. Citizens; U.S. Lawful Permanent Residents (LPR); Foreign Nationals eligible for an Exchange Visitor
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are highly desirable. Familiarity with data science and machine learning applications for analytical chemistry, industrial/agricultural facilities, and techno-economic or life-cycle analysis is considered a
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, plant biochemistry, and molecular biology experiments using diverse corn hybrids and fungal strains. This includes learning about a variety of laboratory and greenhouse techniques and helping in