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, data engineering, data analytics, artificial intelligence, machine learning, deep learning, natural language processing, and automation using modern tools and techniques. During this fellowship, you will
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to evolutionary time scales. One of the goals of the SCINet Initiative is to develop and apply new technologies, including AI and machine learning (ML), to help solve complex agricultural problems that also depend
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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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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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. Genomic Sequencing & Bioinformatics: Gaining a deep understanding of the biological principles underpinning biosurveillance, viral evolutionary analysis, and biothreat assessment. You will learn how
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Diseases (USAMRDC MRIID). What will I be doing? As an Oak Ridge Institute for Science and Education (ORISE) participant, you will engage in a collaborative learning experience alongside a multidisciplinary
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at the Department. Fellows will receive hands-on learning that provides an understanding of the mission, operations, and culture of the DOE. As a result, fellows will gain deep insight into the federal government's
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related area, including meteorology, hydrometeorology, remote sensing, surface and atmospheric modeling, or related fields. Experience in machine learning techniques are highly desirable. Please see https