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, robotics, materials processing, energy systems, and sustainable design. Experiential learning remains a cornerstone of the MMET educational model. Students benefit from access to state-of-the-art
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of intelligent systems Solid programming skills (Python, C/C++, or similar). Experience with autonomous systems (UAVs, robots, self-driving systems) is a major plus. Ability to work independently and
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to demonstrate, in an operational andindustrially relevant environment, an integrated system forcoastal monitoring and protection based on the use of advancedtechnologies in the fields of autonomous vehicles
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on the intersection of robotics and control theory. Project description: This PhD project aims to develop learning‑based methods that combine expert demonstrations with experiential reinforcement learning to enable
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engineering; • Robotics Technologies in Civil Engineering; • Intelligent and Autonomous Construction; and • Emerging and Materials and Technologies in Structural Engineering. Applicants for appointment
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areas. Information about the Department can be obtained at http://www.mech.hku.hk . We welcome candidates from the following areas of Mechanical Engineering: Aeronautics /Space Robotics/Autonomous
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of Robotics and Industrial Informatics (CSIC-UPC) offer a position to work on World Models for Human Behaviour Anticipation https://ramonllull-aira.eu/archivos/theme_field/world-models-for-human-behaviour
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the CoSTAR Team lead by NASA/JPL (https://costar.jpl.nasa.gov/ ). Subject description Robotics and artificial intelligence aim to develop novel robotic systems that are characterized by advanced autonomy
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the CoSTAR Team lead by NASA/JPL (https://costar.jpl.nasa.gov/ ). Subject description Robotics and artificial intelligence aim to develop novel robotic systems that are characterized by advanced autonomy
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); keywords: sensors, visual data, drought effects PhD-N: Optimization-simulation coupling for the GHG emission based supervision and planification of a fleet of autonomous agricultural robots. PhD grantors