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in the biological sciences domain, and end-to-end experience with data science projects that leverage data mining, statistics, predictive modeling, generative AI, and/or machine learning algorithms
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– Full Time DEPARTMENT/DIVISION: The University of Pittsburgh in the Division of Hepatic, Kidney, and Transplantation Pathology, Department of Pathology, and the University of Pittsburgh Medical Center is
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Faculty Professor Research Assistant - Full-Time Med-Ophthalmology - Pennsylvania-Pittsburgh - (24000760) The University of Pittsburgh, Ophthalmology Department is searching for a Research Assistant Professor, a non-tenure candidate. The position will be a full-time research faculty position...
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of Neurology is currently accepting applications for full-time doctoral-level faculty researchers. A Ph.D., MD, or DO in Sciences or Medicine is required. This research faculty position will be responsible
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Research Assistant Professor of Otolaryngology Med-Otolaryngology - Pennsylvania-Pittsburgh - (24000945) The Department of Otolaryngology at the University of Pittsburgh School of Medicine invites applications for a Research Assistant Professor part-time, appointment stream position. The...
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of Neurology is currently accepting applications for full-time doctoral-level faculty researchers. A Ph.D., MD, or DO in Sciences or Medicine is required. Academic rank and compensation package will be
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field with the ability to work collaboratively with other scientific investigators. There is strong collaboration with other faculty in cancer data science, bioinformatics, and AI. Candidates will also be
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, implementation, or analysis. Candidates with training in the following fields are encouraged to apply: (1) health policy; (2) health economics; (3) health services research, (4) public administration; or (5
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Faculty Professor Research Assistant - Full-Time Med-Pharmacology and Chemical Biology - Pennsylvania-Pittsburgh - (23003503) Faculty Research Assistant Professor University of Pittsburgh, School
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, implementation, or analysis. Candidates with training in the following fields are encouraged to apply: (1) health policy; (2) health economics; (3) health services research, (4) public administration; or (5