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control, network optimization, or joint communication and sensing is highly desirable. Experience with artificial intelligence, machine learning, reinforcement learning, or optimization techniques applied
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) Human-AI symbiosis, with the initial use case of aiding in neuromuscular rehabilitation. Researchers will collaborate with leading scholars in AI, machine learning, robotics, reinforcement learning, and
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robotic middleware (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
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on ethics in the field. The faculty aims to be one of the best medical research faculties in the world, while reinforcing its status as a distinguished institution of multidisciplinary education in healthcare
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for lifelong multi-robot operation, using state-of-the-art parametrisations of stabilising controllers, data-driven control and multi-agent reinforcement learning. The postholder will also provide guidance
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economic, energy efficiency, and environmental performance metrics. Utilize reinforcement learning (RL) and deep reinforcement learning (DRL) for autonomous process management, dynamic resource distribution
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Finance at EPFL seeks postdocs to reinforce our research in quantitative finance with a focus on applied machine learning. Main duties and responsibilities Working and collaborating on research projects
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(i) strong foundations in digital communications and statistical signal processing with (ii) hands-on implementation using reinforcement learning (including multi-agent RL), large language models (LLMs
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, Diffusion models, Reinforcement Learning. The successful candidate will work in a highly collaborative and international environment. Contact Information: For further information, please contact petros
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across a range of application areas, including education and healthcare. As these systems are increasingly deployed in high-stakes environments, there is a growing need for machine learning models