13 engineering-computation "https:" "https:" "https:" "https:" "UNIV" Fellowship positions at Carnegie Mellon University
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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! 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! 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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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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recognize multimodal human behavior in real world settings (e.g., Affective Computing, AI for Healthcare: pain measurement, monitoring mental health disorders). The successful candidate will have primary
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subject in computational complexity, type theory, metamathematics, logic, and beyond. What is the space of mathematical truth, and what proofs are there to be discovered? Theme Three: Cyborg Proofs: the use
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deployment, and leadership skills. Function 3 Postdoctoral researchers are expected to: Lead research projects within one of the focus areas above. Publish in leading robotics, computer vision, and machine
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of computer graphics, human-computer interaction, computer vision, and machine learning. Conducting comprehensive literature reviews in related areas, including deep generative models, image and video synthesis
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for the Pitkow Lab. Core Responsibilities Include: Develop computational methods for inference and control that improve the reliable and efficient operation of autonomous agents in complex, uncertain environments
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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