417 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at University of Pittsburgh in United States
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to assess new opportunities 5. Monitor and assess emerging technologies, such as artificial intelligence (AI) and machine learning, to identify opportunities to improve work efficiency and/or enhance
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required; Ph.D. preferred. · Applied professional experience in the field and prior teaching experience at the university or collegiate level is strongly preferred. Responsibilities: · Teach
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dashboards ; (iv) integration of machine learning techniques into application for analysis of large data sets ; and (v) a Linux command line environment . Experience can be concurrent. This is a hybrid office
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Health Economics or related field Interested applicants should submit a curriculum vitae and apply to requisition number 26000760 via: https:// www.join,pitt.edu. The University of Pittsburgh is an equal
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patients in an outpatient and hospital setting. Salary and academic rank are commensurate with experience and qualifications. Applicants should apply through the Talent Center at https://www.join.pitt.edu
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, temporary Adjunct Instructor faculty position in the Department of Pharmacy and Therapeutics to teach the PHARM 5928 Specialty Pharmacy Management-1 and PHARM 5929 Specialty Pharmacy Management-2 courses in
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; ten shared resources that receive funding from our NCI Cancer Center Support Grant https://hillmanresearch.upmc.edu/research/ ; and a 2022 institutional funding base of nearly $150 million. In 2022
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from our NCI Cancer Center Support Grant https://hillmanresearch.upmc.edu/research/ ; and a 2022 institutional funding base of nearly $150 million. In 2022, the University of Pittsburgh School
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of interest and a full curriculum vitae. Interested applicants should apply by going to https://www.join.pitt.edu/ and searching for the keyword 25006077. The University of Pittsburgh is an equal
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potential opportunities available in the Department of Pediatrics by applying to requisition number #26000520 on Pitt Talent Center by visiting https://www.join.pitt.edu/ Contact For questions, please contact