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to other organoid and tissue models Your Profile: PhD in electrical engineering, automation, robotics, computer science, or a related field, with evidence of innovative and impactful research Demonstrated
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, operating systems and security. Job Description The successful candidate will investigate robot learning methods for control and decision-making on edge robotic platforms. Research will focus on reinforcement
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blend theoretical approaches with hands-on experimentation, as well as collaborate with PhD candidates. You'll design experiments using our robotic platform, analyze tactile data patterns, implement real
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science. The research of the focuses on soft matter (colloids, polymers, liquid crystals, granular matter, thin sheets...), active matter (self-propelled colloids, swimming droplets, walking grains, swarms of robots
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candidate will investigate robot learning methods for control and decision-making on edge robotic platforms. Research will focus on reinforcement learning, imitation learning, and the integration of large
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Change & Managing Atmospheric CO2 and Artificial Intelligence & Robotics. Set for completion in 2027, the EIT Campus in Littlemore will include more than 300,000 sq ft of research laboratories, educational
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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. We foster excellence in both fundamental and applied research, spanning fields such as neuroscience and cognition, humanoid technologies and robotics, artificial intelligence, nanotechnology, and
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with a PhD in Engineering (or close to completion) may apply. You will be responsible for: Design of the first reconfigurable robotic matter in collaboration with world-leading universities and
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the Unit of Automation Technology and Mechanical Engineering . The objective of FAST-Lab is the seamless knowledge integration of humans and machines/robots creating smart environments by capitalising