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-methods methodologies and common software (Nvivo, STATA/SPSS, Covidence). Due to the sensitive nature of the research, the successful candidate will be subject to a Disclosure and Barring Service (DBS
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across various teams and projects, and excellent knowledge of mixed-methods methodologies and common software (Nvivo, STATA/SPSS, Covidence). Due to the sensitive nature of the research, the successful
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bodies Supervise and mentor research staff and PhD students (including a fully funded studentship attached to this role) Publish high-impact research outputs and present at leading conferences Strengthen
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You will be successful in this role if you bring: A PhD in Electrical Engineering, Mechanical Engineering, Data Science or a related discipline Proven experience with renewable energy technologies and
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outcomes into implementation pathways, pilot studies and feasibility assessments What You’ll Need to Thrive You will be successful in this role if you bring: A PhD in Electrical Engineering, Mechanical