496 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" positions at University of Pittsburgh
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Data Science Librarian Falk Library - Pennsylvania-Pittsburgh - (25005709) Data Science Librarian Health Sciences Library System, University of Pittsburgh The Health Sciences Library System (HSLS
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Systems Modeling. Developing experimental and/or computational models of molecular, cellular, or organismal physiological systems using mathematical frameworks to fit data and generalize, while offering
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, service on editorial boards or as a manuscript or grant reviewer. Located in the city of Pittsburgh (routinely ranked as one of the top most livable and affordable U.S. cities), Hillman (previously known as
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Data Scientist Office of the SVC and Provost - Pennsylvania-Pittsburgh - (25006401) The Data Scientist will work jointly with the Office of the Provost’s Institutional Research & Analytics Team and
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are home to 12 accredited residency programs, 12 pharmacy fellowship training programs, and the Grace Lamsam Pharmacy Program for the Underserved. For more information about the School of Pharmacy, visit
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directed to Prof. Dolores Lima at dlima@pitt.edu. For more information, see https://www.spanport.pitt.edu/about. Review of applications will begin on February 16, 2026, and will continue until the position
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highlighted on this website: https://www.visitpittsburgh.com/media/press-kit/pittsburgh-accolades/ . Please contact the following individual for further information: Chen Zhang, MD, PhD, Professor and Samuel A
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Teaching Faculty Position in Information Systems and Technology Management BUS-Grad Business Administration - Pennsylvania-Pittsburgh - (25006297) The University of Pittsburgh School of Business
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and experience. Job responsibilities include: • Develop or identify quantitative tools for imaging data processing, including diffusion, anatomic, and BOLD fMRI. • Oversee data quality assurance/quality
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/or computational models of molecular, cellular, or organismal physiological systems using mathematical frameworks to fit data and generalize, while offering biological insights and guiding future