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Citizenship: U.S. Citizen Only Degree: Doctoral Degree. Discipline(s): Computer, Information, and Data Sciences (1 ) Earth and Geosciences (21 ) Environmental and Marine Sciences (14 ) Life Health and
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findings will be encouraged and supported. Learning Objectives: The fellow will have the opportunity to gain or expand skillsets over a range of computational techniques needed for modern agricultural
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or currently pursuing. Discipline(s): Chemistry and Materials Sciences (11 ) Computer, Information, and Data Sciences (9 ) Earth and Geosciences (2 ) Engineering (2 ) Environmental and Marine Sciences (6
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related context, Robotics and autonomous systems, Computer vision, Embedded and Realtime Systems Knowledge in promoting group activities and Business development Experience of processing of data and
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of drug development, regulatory science, and advanced computational modeling. This position will involve integrating mechanistic modeling and machine learning methods to analyze and predict drug properties
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productive manner. Knowledge of legal implications in clinical practice and documentation. Knowledge of performance improvement and evidence-based practice. Basic computer skills. Ability to assess, plan
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stakeholders in academic and government as it pertains to field research. Experience with machine learning (ML) approaches to analyzing data. experience in student leadership or mentorship roles. Experience
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account options for medical and childcare expenses Robust free training access through LinkedIn Learning plus professional conference opportunities Tuition assistance Expansive employee discount program
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statistical software. Learning Objectives: Learn about the implementation of the application of machine learning methodologies in plant phenotyping and genotyping for the sugarcane molecular biology lab. Learn
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Number: 6480973 Postdoctoral Research Fellow About the Opportunity Job Summary The department of Electrical and Computer Engineering and Institute for the Wireless Internet of Things (WIoT) is seeking a