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fields such as science, engineering, medicine, social sciences, or humanities. See the Home Office guidance: https://www.gov.uk/global-talent
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, with occasional travel to project events. The Person You will have a degree in Robotics, Computer Science, Electronic/Electrical Engineering, Machine Learning or a related subject, together
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like to work in the Faculty of Engineering, and how the Faculty supports people to achieve their potential, please see our staff blog: https://engineering.blogs.bristol.ac.uk/category/engineering
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to current students. For more information on Faculty of Science and Engineering please visit our dedicated webpage at https://www.plymouth.ac.uk/schools For an informal discussion to find out more
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For more information on Faculty of Science and Engineering please visit our dedicated webpage at https://www.plymouth.ac.uk/schools We’re currently unable to sponsor this role under the Skilled Worker visa
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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
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Future robots must perceive, predict, communicate, and decide reliably in complex, human–robot shared environments. The Mobile Robotics (https://www.aalto.fi/en/department-of-electrical-engineering
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(2026) https://doi.org/10.1016/j.cep.2026.110813 The role You will develop flow-based ultrasonic systems for applications selected by impact, in terms of sustainability. Substantial optimisation
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We are looking for a highly skilled and motivated individual with, near completion of, a PhD degree in Mechanical/ Electronic/ Robotic Engineering or related discipline who will develop novel
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Electrical and Electronic Engineering at the University of Sheffield, the Research Associate will carry out research into avalanche diodes as part of an EPSRC project. Working closely with another Research