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, prevention, and education. Core to the success of our mission is the ability to orchestrate multidimensional data, data analytics, and machine learning to create sustainable impact within a framework of
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, faculty and administrators Demonstrated experience with python and machine learning libraries and familiarity with AWS Employment is subject to a criminal background check. Pay Transparency Act Annual Full
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 6 days ago
Machine Learning Engineer Appointment Type Fixed Term Faculty Vacancy ID FAC0005084 Full-time/Part-time Part-Time Permanent Hours per week 30 FTE 0.75 Position Location North Carolina, US Hiring Range
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IS NOT A VISA OPPORTUNITY Job Summary Under general supervision of the Associate Director of DevOps, the Senior Machine Learning Engineer works within an agile team to develop, train, and maintain
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outstanding learning and development tools, including tuition vouchers for employees and their qualified family members. About the Position An Artificial Intelligence (AI)/Machine Learning (ML) Data Engineer
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 11 days ago
Staff (SHRA) Position Title Technology Support Analyst (Machine Learning Intern) Position Number 20064965 Vacancy ID S023436 Full-time/Part-time Full-Time Temporary Hours per week 40 Work Schedule To be
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of multi-institutional research projects. The Research Computing Center (RCC) seeks to hire an experienced Computational Scientist – Scientific–AI and Machine Learning to serve as a domain expert in
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Machine Learning Research Scientist SHRS-Health Information Management - Pennsylvania-Pittsburgh - (24003765) The Machine Learning Research Scientist will work closely with health informatics
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Postdoc Research Associate - Machine Learning/NLP for PEM Fuel Cell & Electrolyzer Materials Develop
Laboratory (ORNL) invites applications for a Postdoctoral Research Associate. This position focuses on the integration of machine learning and natural language processing (NLP) techniques in the development
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position to develop and apply advanced analysis methods, including artificial intelligence and machine learning algorithms and approaches, for x-ray science and instruments. These methods will accelerate