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YOUNG RESEARCHER IN THE FIELD OF EARLY DETECTION OF THE HEALTH STATUS OF PLANTS USING REMOTE SENSING
and features for the pre-symptomatic detection of changes in the physiological status of plants, developing, training, validating, and comparing predictive machine learning and deep learning models
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with special emphasis on applied artificial intelligence, machine learning, natural language processing, computer vision, and experiential learning addressing business and technical challenges in
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 1 hour ago
medical leave after 12 months of continuous service. We also offer an abundance of training and development programs through our Dare to Learn Academy , and the employee assistance program , many of which
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, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race
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teaching and learning, within an atmosphere of collaboration and excellence. At GTCC, you'll be part of a supportive, dynamic, and inclusive culture committed to delivering exceptional results, making it a
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experience in computational and machine learning approaches for use in the quantitative measurement of human learning and its associated behaviors and motivational constructs. A strong applicant will hold Ph.D
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here for more information about equivalencies: https://hr.uky.edu/employment/working-uk/equivalencies Required Related Experience 0 yrs Required License/Registration/Certification One of the following: 1
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insurance, generous paid leave and retirement programs. To learn more about USC benefits, access the "Working at USC" section on the Applicant Portal at https://uscjobs.sc.edu. Position Description Advertised
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: Prior experience running behavioral experiments is desirable, as is previous collaboration or engagement with researchers in economics. Familiarity with methods from machine learning will be a plus. All
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at 501-671-2219 or 479-502-9820. Department: Community, Professional, & Economic Development * APEX Accelerator Department's Website: https://uaex.uada.edu/business-communities Summary of Job Duties: We