41 software-engineering-model-driven-engineering-phd-position Postdoctoral positions at Carnegie Mellon University
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shares our values and who will support the mission of the university through their work. Qualifications: PhD in Materials Science and Engineering or a related field (e.g., physics, chemistry, chemical
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close to completing, a PhD in Chemical Engineering, Biomedical Engineering, Mechanical Engineering, or a related field Strong candidates will have expertise in one or more of the following areas
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curious to deliver work that matters, your journey starts here! Since its inception in 1905, the Carnegie Mellon Department of Chemical Engineering has been on the leading edge of research and innovation in
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curious to deliver work that matters, your journey starts here! Innovation. Interdisciplinary collaboration. Complex problem solving. In Carnegie Mellon University’s Department of Mechanical Engineering
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curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering (ECE) ranks among the best in the country. Our research programs are at the forefront
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of Mathematical Sciences at Carnegie Mellon University invites applications for a two-year postdoctoral position to begin on September 1, 2026. The position is focused on applied analysis and related areas
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Carnegie Mellon University, Mathematical Sciences Position ID: CMU-PDAA [#27130] Position Title: Position Type: Postdoctoral Position Location: Pittsburgh, Pennsylvania 15213
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In Carnegie Mellon University's Department of Mechanical Engineering (MechE), faculty members, researchers, and students are revolutionizing focus areas in artificial intelligence (AI), engineering
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Bosch Group, a leading global supplier of advanced technology and services. Established in 1990 through a significant endowment from Bosch, the core mission of CBI is to leverage the complementary
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Include: Design and implementation of computational cognitive models Capture workflows and strategies in complex software engineering systems in their integration in real-time recommender systems Carry out