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, public health, biostatistics, biomedical sciences, engineering, mathematics, statistics, or a related field. Experience or coursework involving artificial intelligence, machine learning, natural
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scales, from the genome to the continent, and sub-daily to evolutionary time scales. One of the goals of the SCINet Initiative is to develop and apply new technologies, including AI and machine learning
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other test sites. Why should I apply? Under the guidance of a mentor, you will: Learn how to research issues and conduct feasibility studies pertaining to the engineering and scientific elements
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Sciences (1 ) Communications and Graphics Design (3 ) Computer, Information, and Data Sciences (1 ) Engineering (2 ) Environmental and Marine Sciences (2 ) Life Health and Medical Sciences (3
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of tropical fruit, vegetable and ornamental crops grown in the Pacific Basin.. During this fellowship you will engage with research to extend existing computer models of surveillance traps for invasive insects
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Experience or interest in artificial intelligence (AI), machine learning, or AI-assisted workflow automation Experience with software testing, beta testing, user acceptance testing, or information system
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60 months or currently pursuing. Discipline(s): Communications and Graphics Design (2 ) Computer, Information, and Data Sciences (5 ) Engineering (1 ) Environmental and Marine Sciences (1
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the soil-water-plant-air continuum using process-based models. You will learn how to take proper soil, plant and air samples that influence carbon and nitrogen dynamics and learns how soil and plant
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) Computer, Information, and Data Sciences (17 ) Earth and Geosciences (21 ) Engineering (29 ) Environmental and Marine Sciences (14 ) Life Health and Medical Sciences (51 ) Mathematics and
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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