16 postdoctoral-image-processing-in-computer-science Fellowship positions at Carnegie Mellon University
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who shares our values and who will support the mission of the university through their work. Qualifications: Ph.D. in a relevant field such as Learning Sciences, Human-Computer Interaction, Education
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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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robotics, cybersecurity, sensing and signal processing, smart mobility and energy systems. In addition, they are using their expertise in interdisciplinary research initiatives across the university. We
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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
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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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to combine the practical and the theoretical, we have diversified efforts and approaches to robotics science while retaining the original goal of realizing the potential of the robotics field. Carnegie Mellon