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new. Applicants should have (or expect to obtain by the start date) at least a good 2.1 degree (and preferably a Masters degree) in Engineering or Physical Sciences. Applicants should be able
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); The applicants may have a background in any aspect of Materials Science, Metallurgy, Physical science or Engineering. A copy of your undergraduate/Postgraduate degree certificate(s) and transcript (s); Names and
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well as academically new. Applicants should have (or expect to obtain by the start date) at least a good 2.1 degree (and preferably a Masters degree) in Engineering or Physical Sciences. Applicants should be able
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a thorough knowledge of mechatronics engineering for electric vehicle systems and to have a working knowledge of a range of topics within the sphere of their chosen discipline. They will also be
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control system that enhances Annual Energy Production (AEP), reduces mechanical stress, and improves fault detection using machine learning (ML) and physics-based modelling. The candidate will gain hands
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and is a leading multidisciplinary research-intensive technology university delivering economic, social and cultural benefits. For more information please visit: https://www.brunel.ac.uk/about/our
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support our staff and students to realise their full potential, from academic achievement to mental and physical wellbeing. We are committed to progressing the diversity and inclusion agenda, for example
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, above. Select programme type (Research), 2025/26, Faculty of Engineering and Physical Sciences, next page select “PhD Engineering & Environment (Full time)”. In Section 2 of the application form you
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: An intelligent ATM is an ideal solution to analyse and monitor the local device for possible physical or cyber threats. A typical ATM system is suitable to host such environments. A typical system, consisting of
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obtaining) a PhD in Chemistry, Materials Science, Engineering, Physics or relevant technical discipline. To perform the role, the applicants will additionally need to have excellent presentation, technical