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and problem-solving Qualifications Research Assistant post ● Nearing completion or working towards a PhD in Electronic Engineering, Machine Learning with a hardware focus or related area. Candidates
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power systems. You will join a large group of postgraduate students in the Faculty of Engineering, working on many aspects of solar energy and zero carbon technologies. The team of potential PhD
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A position exists, for a Research Assistant/Associate in the Department of Engineering, to work on Soft electronics. The post holder will be located in West Cambridge, Cambridgeshire, UK. The role
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Cyber-Physical Power Systems Research area and project description: This is an exciting PhD project to be carried out in close collaboration with a UK electrical network operator and an industrial co
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, there is no consensus on the adsorption mechanisms of these molecules on the metallic surfaces. In this PhD project we will use state-of-art molecular simulation methods [2,3] to clarify the adsorption and
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electronic converters are required to connect renewable energy sources and energy storage systems to the power network. These converters employ sophisticated control algorithms that must simultaneously achieve
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per year for 3.5 years. Lead Supervisor’s full name & email address Dr Massimiliano Fasi: m.fasi@leeds.ac.uk Project summary The growing importance of artificial intelligence is fostering a paradigm
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PhD project (such as mathematics or theoretical physics) is our standard entry, however we place value on prior experience, enthusiasm for research, and the ability to think and work independently
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industry. The project supports Pulsar’s strategic roadmap in developing both chemical propulsion systems for launch and high-power electric propulsion systems for last mile delivery activities for spacecraft
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Faculty of Engineering and Physical Sciences EPSRC Project Proposals 2025/26 (jobs.ac.uk) Project Link: Stress modulated antiferromagnetism in a BiFeO3-based thin film | Project Opportunities | PhD