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Field
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at Cranfield University. The manufacturing capability is world leading and combines a multi-disciplinary approach that integrates design, technology and management expertise. We link fundamental materials
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funded innovation resilience programmes are also implementing these systems at scale. However, there is very limited consistent research evidence on the efficacy of different engineered filter media and
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, including electrical engineering, mechanical engineering, chemical engineering, materials science, and physics. Participate in manuscript writing/preparation, and conference talks/posters. Pursue
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systems and uncover insights that can be applied to design more robust and interpretable deep learning systems. Aims This project is designed to unravel the intricate learning dynamics and the nature
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applicant must have the following: • Masters’ degree in Electrical Engineering, Mechanical Engineering, Physics or a related discipline • Experience with electronic circuits design and testing
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Job description Short job description We are seeking a highly motivated and talented PhD researcher in the field of mechanical and control engineering of robots. You will work on a cutting-edge
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of aero engine axial compressors by implementing new design approaches – and you will improve the aerodynamic robustness of future compressors. The highly innovative project will generate fundamental
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world. The workflow spans from analytical chemistry to material science and engineering. There is no need for previous knowledge in the described fields but a strong motivation to learn and push the boundaries of our
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degree in a technical field (mechanical engineering, mechatronics, robotics, electrical engineering, computer science, etc.) -Know-How from lectures in robotics (e.g. environment perception, path and
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technical field (mechanical engineering, mechatronics, robotics, electrical engineering, computer science, etc.) -Know-How from lectures in robotics (e.g. environment perception, path and behavior planning