35 phd-in-computational-neuroscience-"Multiple" Postdoctoral positions at Carnegie Mellon University
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to healthier, cleaner, more efficient future for all. The Sevenler research group has multiple openings for postdoctoral fellows to work on a translational biomedical research project with a highly
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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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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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, 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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through their work. You should demonstrate: Strong analytical abilities Excellent organizational and planning skills Effective problem-solving and critical reasoning skills Qualifications: PhD in Economics
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through their work. You should demonstrate: Strong analytical abilities Excellent organizational and planning skills Effective problem-solving and critical reasoning skills Qualifications: PhD in Economics
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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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engineering, earth science, computer science, or related field required. A PhD specializing in glacier modeling, remote sensing, and/or statistics preferred. Python coding experience preferred. Strong
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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