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movement as well as performing the “sim2real” step for the control of physical musculoskeletal robots in the real world, i.e., use cass include neuromuscular model-based control of robotic legs and arms
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robotics and autonomous systems, and generative models for image synthesis and enhancement. We would also be interested in applicants who are working in emerging areas in the field, including vision
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in “Embodied-AI and Human-Robot-Interaction” within the WASP project, led by Assoc. Prof. Zoe Falomir. The position is full-time for two years, starting in spring 2026, or as agreed. Department
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autonomous driving. Your profile Master's degree in Computer Science, Artificial Intelligence, Robotics, or related field Strong background in machine learning, deep learning, or computer vision Experience
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interpretability of intelligent systems in safety-critical domains like autonomous driving. Your profile Master's degree in Computer Science, Artificial Intelligence, Robotics, or related field Strong background in
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: developing novel tools that improve biological AI models by orders of magnitude; developing closed-loop systems that combine robotics and AI for rapid autonomous experimentation; discovering in human tissues
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strengths in developing the fundamentals of AI and also in applying AI in Financial Technology and other areas such as Digital Health, and Robotics and Autonomous Systems. Our new Temple Quarter Innovation
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work closely with researchers in all NIOZ departments including the newly established Marine Robotics Group within the NMF Department at NIOZ. THE VACANCY NIOZ offers unparalleled access to new research
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-piloted Unmanned Aerial Vehicle (UAV), an adaptable robotic gripper, and an Artificial Intelligence (AI) powered decision-making framework. The AI will autonomously assess litter retrievability, considering
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? Join us to develop deep learning techniques for fusing acoustic sensor data with other vehicle sensors for robust multi-modal environment perception. Help shape the future of autonomous driving! Job