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, including diffusion models and reinforcement learning, for navigation decision-making, trajectory generation and adaptive robot behavior. Key Responsibilities: Design and develop navigation algorithms
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facilities support the University’s Leeds Gryphons sports clubs and are widely used by local sports clubs, National Governing Bodies, and professional sports teams, reinforcing the University of Leeds
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centre. Together, these facilities support the University’s Leeds Gryphons sports clubs and are widely used by local sports clubs, National Governing Bodies, and professional sports teams, reinforcing
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, federated learning, multi-agent reinforcement learning, and AI platforms for explainable and reproducible experimental science. The University expects excellence in teaching and in research, qualifications
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(e.g., ROS, MoveIt) and hardware integration. Knowledge of machine learning, reinforcement learning, or vision-language models for robotics is a plus. Hands-on experience with robotic arms (e.g., UR5
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meaningful contributions across Utah and around the world, reinforcing UVU’s role as a powerful engine of opportunity, economic mobility, and community advancement. To learn more about Utah Valley University
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that transcend infrastructure, transportation, environment and geodetic applications to address the changing nature and coming challenges of civil and environmental engineering practice. To learn more visit: https
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) at the University of Southern Denmark invites applications for a postdoctoral research fellowship position within the field of neuro-morphic reinforcement learning to be filled earliest by 1 October 2026 for a period
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 12 hours ago
to the arts and top athletic programs, Carolina is an ideal place to teach, work and learn. One of the best college towns and best places to live in the United States, Chapel Hill has diverse social, cultural
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condensate dynamics [6] confirm that programmable multi-soliton architectures are now experimentally accessible. In par- allel, AI methods — reinforcement learning and neural- network-based optimization — have