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, or intervention using electronic, mechanical, or smart material systems. This particular PhD studentship, based at the School of Engineering, University of Birmingham, focuses on developing a microfabricated
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We are seeking a highly creative and motivated Postdoctoral Research Assistant/Associate to join the Machine Learning Group in the Department of Engineering, University of Cambridge, UK. This
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PhD Studentship: Carbon Nanotube (CNT) Winding Development for Electric Motors The Manufacturing Technology Centre UK, and University of Nottingham This project offers an exciting opportunity
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process validation. The successful candidate will have opportunities to work at TPC’s facility in Hallstahammar, contributing directly to on-site trials and process enhancements. The company’s investment in
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, maintenance, disposal and recycling is required. Based on over a century’s experience, design and operation of power transformers have been highly optimised, with peak energy efficiency reaching over 99
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ideally have a PhD (or working towards) or the equivalent experience, in Electronic Engineering or Computer Systems Engineering including a firm grounding in developing sensor systems. Candidates with
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. The aim of the PINZ CDT is to train the next generation of process and chemical engineers, and chemists, to develop the new processes, process technologies and green chemistries required for the process
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Bath, England | United Kingdom | 3 months ago
diverse fields including engineering, environmental science, policy studies, and business to address complex decarbonisation challenges. Click Apply now for more information on our application process
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the Manufacturing Technology Centre (MTC). It is based within the Advanced Manufacturing Technology Research Group (AMTG) at the Faculty of Engineering, University of Nottingham, which amongst its wide research
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An exciting opportunity has arisen for a talented computer scientist to join our team as a researcher within the Green Algorithms Initiative in the Department of Public Health and Primary Care, one