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; iii) Collaborating with a team of experts in various fields, including electrical/electronic engineering, mechanical engineering, and computer science; iv) Participating in project meetings, presenting
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and coastal engineering, computing, electrical and electronic engineering and robotics, mathematical sciences, mechanical, marine and materials engineering. With many internationally recognised experts
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performance; iii) Collaborating with a team of experts in various fields, including electrical/electronic engineering, mechanical engineering, and computer science; iv) Participating in project meetings
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Are you a power electronics engineer, RF electronics engineer, or an RF integrated circuit design engineer looking to apply your background to next generation power electronic conversion in pursuit
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Research Assistant in Designing and Modelling IoT Enabled Industrial WSNs (REDEPLOYMENT OPPORTUNITY)
teams and School of Engineering staff. You will be qualified to a Masters or Honours Degree level in the area of Electrical/Electronics, Computer Science and Engineering, Robotics, Embedded Systems
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well with members of the wider project teams and School of Engineering staff. You will be qualified to a PhD or equivalent (good candidates may be accepted with a PhD pending) in the area of Electrical
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View All Vacancies Are you an ambitious researcher looking for your next challenge? Do you have a background in Tribology, Surfaces, Interfaces or Coatings, in particular tribology in electric
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and coastal engineering, computing, electrical and electronic engineering and robotics, mathematical sciences, mechanical, marine and materials engineering. With many internationally recognised experts
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Postgraduate Researchers in the School of Electronic and Electrical Engineering and the School of Chemistry. Holding a strong background in Atmospheric or Physical Chemistry, Engineering, Physics, or a related
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to present your work and represent the team. You must have a PhD* in CS or Engineering (Electrical/Electronics), with specialization in one or more of the following fields: Machine Learning and embedded