37 phd-computational-"FEMTO-ST"-"FEMTO-ST" Postdoctoral positions at Carnegie Mellon University
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, faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In
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Mohadeseh Taheri-Mousavi’s group. The postdoc will develop and conduct advanced machine learning techniques combined with computational research to study the mechanical behavior of welds. Responsibilities
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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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, faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In
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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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applications for a two-year postdoctoral position to begin on September 1, 2026. The position is focused on applied analysis and related areas of applied and computational mathematics. The position is connected
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of applied and computational mathematics. The position is connected to the NSF RTG grant "Frontiers of Applied Analysis". Consequently only U.S. citizens, nationals, and permanent residents are eligible
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, faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In
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, faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In
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August 16, 2025 thru May 15, 2026 to contribute to the department’s computing curriculum and experiential learning initiatives. The Department is seeking candidates with a passion for Statistics and/or