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researchers to advance a universal science of embodied intelligence. NCEI brings together leading robotics and AI groups with key partners from industry and the public sector to study how intelligence emerges
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accordance with the MSCA-DC program. Have a Master’s degree in a relevant field (e.g. Artificial Intelligence, Computer Science, Data Science, Mathematics, Engineering or relateddisciplines). Demonstrate
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will operate at the intersection of computer vision, micro-electronics analysis, and hardware security, and will work under the supervision of researchers within the Department of Intelligent Systems
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1st October 2026 Languages English English English The Department of Mechanical and Industrial Engineering has a vacancy for a PhD Candidate in Robotics and Intelligent Mechatronic Systems
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» Mechanical engineering Engineering » Industrial engineering Computer science » Cybernetics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 1 Oct 2026 - 23:59 (Europe
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) Application Deadline 30 Oct 2026 - 22:59 (UTC) Country Netherlands Type of Contract Permanent Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Develop advanced models to understand and predict piping
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are seeking a PhD candidate for a 4-year contract to develop and apply computational models and video-based tools to capture hand movement and function with deployment in the home environment as the target
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) Application Deadline 30 Oct 2026 - 22:59 (UTC) Country Netherlands Type of Contract Permanent Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not
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. Information about the Department can be obtained at http://www.dase.hku.hk/ . Applicants should possess a Ph.D. degree in systems engineering, data science, industrial engineering, computer science or a related