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. Anastasia Bolotnikova, an expert in Human–Robot Interaction with a strong international track record in the field, and co-supervised by Dr. Aurélie Clodic, an expert in Human–Robot Interaction and knowledge
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build the sustainable companies and societies of the future. The Robotics and Artificial Intelligence , RAI, subject at the department of Computer Science and Electrical and Space Engineering at Luleå
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Research theme: Control Engineering, Robotics How to apply: https://uom.link/pgr-apply-2425 UK only This 3.5-year PhD studentship is open to Home (UK) applicants. The successful candidate will
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that you will help us to build the sustainable companies and societies of the future. The Robotics and Artificial Intelligence , RAI, subject at the department of Computer Science and Electrical and Space
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is expected to have a profound knowledge on most of the following topics: Robot control Deep Learning Medical imaging Preferably, the candidate has experience with: Robotic simulation tools Medical
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autonomous unmanned systems see growing deployment in real-world settings, swarms of these systems are becoming essential for accomplishing tasks that cannot be handled by a single robot. In challenging
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developed falls within the activities of the Cyber-Physical Control Systems and Robotics Laboratory (C2SR) of SYSTEC – Research Center for Systems & Technologies, aiming at the development and integration
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Description PhD Student in Medical & Surgical Robotics The Medical Robotics Lab (MeRo Lab), led by Prof. Quentin Boehler, is a newly formed research group at ETH Zurich starting in March 2026. Our goal is to
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as well as profound knowledge of professional computer-aided design and 3D modelling In addition, you have experience in CAD/CAM (preferably McNeel Rhinoceros) and/or robotic fabrication, as
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-class or 2:1 (or international equivalent) Master’s degree in Computer Science, Robotics, Mechatronics or Electronic/Electrical Engineering, or a related field. • Knowledge of machine learning/deep