11 phd-computer-science-fully-funded-"IMPRS-ML"-"IMPRS-ML" Fellowship positions at Carnegie Mellon University
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to healthier, cleaner, more efficient future for all. A research collaboration is being funded by the Energy and Environment Solutions (E2S) program of the Universite de Pau et des Pays de l’Adour (UPPA) and
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fostering engaging and effective learning through the power of play. The ETC, a joint venture between CMU's School of Computer Science and College of Fine Arts, is renowned for its interdisciplinary, project
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fostering engaging and effective learning through the power of play. The ETC, a joint venture between CMU's School of Computer Science and College of Fine Arts, is renowned for its interdisciplinary, project
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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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from multiple disciplines and institutions. Required: PhD in in computer vision, machine learning, artificial intelligence, or a closely related field. Strong background in machine learning / computer
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or microworlds, conduct laboratory studies, and construct computational cognitive models including paradigms in Cognitive Science (Instance-Based Learning models) or AI (Reinforcement Learning). The fellow will
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duties as assigned. Requirements: Doctorate Degree in Computer Science, Electrical Engineering, or a related field. Strong background in computer vision and deep learning. Proven record of first-author
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the full spectrum of advantages from comprehensive medical, prescription, dental, and vision insurance to an enticing retirement savings program offering a generous employer contribution. You can also
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conferences, e.g., ICRA, IROS Good oral and writing communication skills Completed Phd program Flexibility, excellence, and passion are vital qualities within the Robotics Institute. Inclusion, collaboration
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to combine the practical and the theoretical, the Robotics Institute has diversified its efforts and approaches to robotics science while retaining its original goal of realizing the potential of the robotics