339 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"P" positions at University of Pittsburgh
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Division) RANK/TITLE: Research Assistant Professor (appointment stream) 1. Scientific Responsibilities • Lead data analysis and interpretation to produce reliable and well-supported findings. • Plan
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autoimmune diseases Reproductive Experiences in Autoimmunity (REINA) patient registry, which collects longitudinal data from women with autoimmunity as they progress from reproductive age to menopause Job
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Reporting team. Duties associated with this position include, but are not limited to: Manage, prepare, and analyze complex internal and external financial information and reporting including financial
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Center (which serves undeclared students) on the major declaration process and transition to major advising; advisor training and mentoring; assessment of advising; and the use of data/research to monitor
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the Bioinformatics Shared Resource at UPMC Hillman Cancer Center. The Bioinformatics Research Specialist will work as a data scientist/health informaticist/bioinformatician who will lead analyses of multi-dimensional
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experiments. Analyzes and interprets data, compiles results, and prepares reports. Maintains inventory, ordering, and logs. Writes manuscripts and grant proposals and prepares data visualizations. Essential
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chemistry and greenhouse gas analytical systems (25%), build data management infrastructure, including LIMS implementation (15%), publish synthesis papers integrating findings across network projects (15
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(Carnegie Mellon, Cornell, NASA collaborators), scientific teams, students, trustees, and the public. • Ensures confidentiality of high-level information related to donor activities, cross-institutional
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, provides program information, and attends promotional events. Essential Functions Develop skills in law enforcement. Accompany officers in conducting foot and vehicular patrols of a university campus. Build
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projects and the C4 Center more generally. The Research Assistant will support day-to-day operations of multiple projects including assisting with data collection and data entry, paying research participants