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presentations, technical reports, posters, abstracts, and manuscripts. Activities may be tailored your scientific background, interests, and professional development goals. Learning Objectives: During
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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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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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, Computer Science, Computer Engineering, Electrical Engineering, Physics, or Artificial Intelligence. These students possess strong mathematical and computer programming foundations and technical skills relevant
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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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for extended periods, and may require occasional lifting of field gear containers weighing up to 40 pounds. Data entry in the field utilizes rugged computer tablets and QGIS software. Housing costs and round
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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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the guidance of your mentor, you will study Fusarium Head Blight (FHB), one of the most significant diseases affecting wheat production, grain quality, and food safety worldwide. You will learn how
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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