372 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"I.E" positions at University of Pittsburgh
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financial analyses and support special projects related to revenue and expenditures. Collaborate with senior leadership across the University to communicate financial information and resolve complex
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Electrician; Basic Computer Skills; Complete/Graduate from a Certified Apprentice Program Work Schedule Monday - Friday, 7:00 a.m. - 3:30 p.m. Work Arrangement On-Campus: Teams that work on campus, in an office
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Faculty · Maintains a high level of ethical behavior and confidentiality of information about school personnel · Assumes responsibility for overseeing student behavior · Executes
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Professor Appointment Stream (AS) position to start in August 2026. The position requires a PhD in one of the existing engineering areas offered at the University (Chemical, Civil, Computer, Electrical, or
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technology systems, workflows, data analytics, and reporting. * Overseeing endowment-related aspects of the University’s annual audit. * Performing operational due diligence on prospective investment
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documentation of new genomics projects. Maintain project records, data tracking sheets, and status summaries for leadership. Help streamline investigator engagement and improve the overall experience of partners
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and ensures confidentiality of high-level, sensitive information. Manages office workflow. Assists with strategic planning processes and administrative goals and priorities. Prepares budgetary functions
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, census and health issues for records and billing information • manage inventory, orders and receipts of supplies and services • assist researchers and staff with facility issues • serve as a mentor and
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computer for long periods of time or to walk to other locations on campus The University of Pittsburgh is an equal opportunity employer / disability / veteran. Assignment Category Full-time regular Job
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approaches to multi-omic datasets in the context of senescence in conjunction with the Koenigshoff lab, and ii) enhancing SLIDE with biological priors and applying it to metabolomic data. Physical Effort