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computational kernel to effectively generate optimised structure and toolpaths for robot-assisted additive manufacturing with dynamically changed material accumulation directions. The research is funded by
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Robot Learning (https://ellis-stuttgart.eu/research/ ). To strengthen our joint research activities, we are looking for an excellent and highly motivated scientist with an outstanding early-career track
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experimentation. The PhD student will develop models and algorithms for the joint design of sensing, communication, inference, and action, and is expected to contribute to a real robotic platform integrating
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operation of research lab equipment and robotic systems. Job Requirements: PhD degree with at least 3 first-author papers in Computer Science, Robotics, Mechanical Engineering, Electrical Engineering, or a
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technical resources. The Systems Hub hosts the following four Thrusts: Bioscience and Biomedical Engineering (BSBE), Intelligent Transportation (INTR), Robotics and Autonomous Systems (ROAS), and Smart
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Electrical Engineering . Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/306525/phd-candidate-in-hybrid-l… Requirements Research FieldEngineeringEducation LevelMaster Degree or equivalent
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advanced manufacturing are strongly encouraged to apply. Candidates will also be expected to be affiliated with the University of Utah Robotics Center (https://robotics.coe.utah.edu ), which manages
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as part of a research team to meet agreed project outcomes, timelines and milestones. Qualifications: Mandatory for Academic Level A appointment: PhD or close to submission in robotics, machine
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robotics, machine learning or other relevant disciplines. Mandatory for Academic Level B appointment: PhD in robotics, machine learning or other relevant disciplines. Please Note: Appointment to
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PhD degree in Mechanical/ Electronic/ Robotic Engineering or related discipline who will develop novel control methods for soft robotic wearable systems to help older people and people with disabilities