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manufacturing sectors. Applicants should have a good background in mechanical, energy, or related engineering disciplines, with knowledge of thermal-fluid sciences, and be familiar with or willing to learn
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Digital Citizens, and Robotics and AI which align with the EPSRC Discovery priority of ‘Digital Futures’, and the Mission-Inspired priorities of ‘engineering net zero’, and ‘artificial intelligence
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of ‘engineering net zero’, and ‘artificial intelligence’. This vision is located within RCA’s strategic research priorities of Climate Crisis and the Circular Economy, and Design & AI, as well as the priority
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Using Brain Computer Interface to Improve Cognitive Performance School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Mahnaz Arvaneh Application Deadline: Applications
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funding authority). You will apply for the study right in doctoral studies at Aalto University School of Electrical Engineering and must satisfy the eligibility conditions for this doctoral programme
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development of PD treatments. To apply for this role, you will need to have a PhD in Biomedical Engineering, Clinical Engineering, Computer Science, Movement Science or a related field, or, close to submission
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Application deadline: 31/01/2026 Research theme: Control Engineering, Robotics UK only This 3.5-year PhD studentship is open to Home (UK) applicants. The successful candidate will receive an annual
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MidlandsCityBirmingham Postal CodeB15 2TTGeofield Contact City Birmingham Website https://www.bham.ac.uk/schools/engineering Street Edgbaston Postal Code B15 2TT STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn
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knowledge of power system security and machine learning being crucial. The Associate will primarily work alongside National Grid engineers to integrate the machine learning backend of the intrusion detection
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(or near completion) in a relevant discipline (e.g., data science, computer science, engineering, statistics, or a related field) or equivalent research experience. You will have demonstrable expertise