77 machine-learning "https:" "https:" "https:" "https:" "https:" positions at University of Cincinnati in United States
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of faculty supervisor, develop novel techniques incorporating machine learning in particle physics event generators. Contribute to the development of machine learning driven techniques in the Pythia 8 event
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courses in hydrogeophysics and related fields (examples may include but are not limited to Field Hydrogeology, Near-Surface Geophysics, Machine Learning for Hydrogeophysical Systems). Develop and maintain
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accounts & wellness programs Professional development & mentorship opportunities To learn more about why UC is a great place to work, please visit our careers page at https://www.uc.edu/careers.html UC is an
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12 Conference. The university contributes $10.6 billion in economic impact to the city and $22.7 billion to the state of Ohio. At UC, next is all of us. Learn more at uc.edu. UC is a mission-driven
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Current UC employees must apply internally via SuccessFactors > http://bit.ly/UCEMPL You are invited to submit an application to be considered for one of multiple vacancies of the same position
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the use of computer technology and educational learning management systems Strong interpersonal skills including communication, problem solving, conflict management, and follow-through Interest and ability
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: Artificial Intelligence, Database, Data Analytics, Data Mining, Machine Learning (Deep Learning), and Cloud Computing. Courses are taught at all levels from undergraduate to graduate (master's and doctoral
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, Machine Learning (Deep Learning), and Cloud Computing. Courses are taught at all levels from undergraduate to graduate (master's and doctoral). Duties include teaching courses in Electrical Engineering
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Current UC employees must apply internally via SuccessFactors > http://bit.ly/UCEMPL You are invited to submit an application to be considered for one of multiple vacancies of the same position
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cross-functional collaboration to support imaging trials and translational research. Essential Functions Design, develop, and validate data science methods in the domains of AI and machine learning