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working full-time. An exciting opportunity has arisen for a talented graduate in a quantitative STEM, psychology, health or social sciences or related discipline to develop their data analysis and modelling
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Assistant (RA) to contribute to a collaborative research project funded by the Science and Technology Facilities Council (STFC). The project focuses on the development of advanced micro/nano-electromechanical
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