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duties as assigned. REQUIREMENTS: REQUIRED: PhD in in computer vision, machine learning, artificial intelligence, or a closely related field. Strong programming skills. Strong background in machine
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following fields: Cognitive Science, Psychology, Computer Science, Mathematics or Philosophy PhD Degree We are particularly interested in candidates with demonstrated abilities to conduct interdisciplinary
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technical/computational backgrounds (ML, NLP, AI safety, working with LLMs) as well as computational social scientists. The ideal candidate bridges these worlds or is eager to learn across them
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computational biologists. Publishing research findings in peer-reviewed journals and present at scientific conferences. Mentoring and supervise graduate and undergraduate students in related projects
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graphics, computer vision, and machine learning. Providing guidance and mentorship to undergraduate and graduate student researchers and team members, fostering a collaborative and intellectually stimulating
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chemical engineering. Today, this is more true than ever. With research thrusts across fields such as health and medicine, biofuels, air quality and more, CMU chemical engineering students are paving the way
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, Computer Science, Mathematics or Philosophy PhD Degree We are particularly interested in candidates with demonstrated abilities to conduct interdisciplinary work across these fields, with an interest in
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involved in grant writing, developing project ideas both independently and within a group, and be expected to lead graduate students and research staff towards completion of project goals in the form
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Carnegie Mellon University, Institute for Computer-Aided Reasoning in Mathematics Position ID: 3637-PF [#27988] Position Title: Position Type: Postdoctoral Position Location: Pittsburgh
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manipulation with physics-based simulation in the loop. Mentoring graduate and undergraduate students. Other duties as assigned. Adaptability, excellence, and passion are vital qualities within Carnegie Mellon