41 engineering-computation "https:" "https:" "https:" "https:" "https:" "CNRS " Postdoctoral positions at Carnegie Mellon University in United States
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design, robotics, computational engineering, advanced manufacturing, and bioengineering. In addition, they are using their expertise in interdisciplinary research centers across the university. We
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seeks applicants to fill the position of Post Doctoral Fellow in the Computer Science Department. The G-CLef Lab at CMU is hiring one postdoctoral scholar to pursue research on multimodal AI
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Learning Squared project, run by the Human-Computer Interaction Institute at Carnegie Mellon University aims to double the rate of math learning in middle school students, particularly those who have been
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different environments. Please check out the lab website for more descriptions of our research: https://sifangwei.github.io/ We are mainly looking for candidates who aim for an academic career. We will walk
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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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language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative ways to understanding, processing, and
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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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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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Responsibilities Include: Develop computational methods for inference and control that improve the reliable and efficient operation of autonomous agents in complex, uncertain environments. Modeling dynamical systems
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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