87 programming-"Multiple"-"U"-"U.S"-"Prof"-"O.P" positions at Carnegie Mellon University
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interdisciplinary programs and administrative functions within the university. It oversees areas such as the University Libraries, the IDeATe (Integrative Design, Arts, and Technology) program, the Entertainment
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-paced work environment. Reporting to the Associate Vice President, Advancement Resources and Engagement Programs, you will be responsible for providing strategic leadership and oversight of a
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the Annual Giving team to plan solicitations, steward donors, and meet fundraising goals. Additionally, the role supports the Senior Director in critical functions such as gift administration, managing
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(MCS) is a vibrant organization for dynamic collaboration. Home to four departments — Biological Sciences, Chemistry, Mathematical Sciences, and Physics — MCS also hosts many programs and research
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%) outside of your office location to other SEI offices, sponsor sites, conferences, and offsite meetings. What you’ll do: Understand complex, inter-dependent systems that hit multiple abstraction levels
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to other SEI offices, sponsor sites, conferences, and offsite meetings. What you’ll do: Understand complex, inter-dependent systems that hit multiple abstraction levels for embedded systems, interacting
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to travel (25%) outside of your office location to other SEI offices, sponsor sites, conferences, and offsite meetings. What you’ll do: Understand complex, inter-dependent systems that hit multiple
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) Provide technical and programming support to business partners related to the construction, implementation, delivery, and/or other related activities to data sets and dashboards as needed. Collaborate with
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of actuals and forecasts to budget, with both risk assessment and variance analysis. Leverage tools and reports to plan and monitor grant workflows, benchmarks, forecasts, and sub-recipient monitoring. Cross
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from multiple disciplines and institutions. Required: PhD in in computer vision, machine learning, artificial intelligence, or a closely related field. Strong background in machine learning / computer