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Failure Analysis of Composite Sleeves for Surface Permanent Magnet Electrical Machines This exciting opportunity is based within the Power Electronics, Machines and Control (PEMC) and Composites
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This exciting opportunity is based within the Power Electronics, Machines and Control (PEMC) and Composites Research Groups at the Faculty of Engineering, which conduct cutting-edge research
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Jefferson Email: t.lyu@cranfield.ac.uk (T.L.), b.jefferson@cranfield.ac.uk (B.J.) Phone:+44(0) 1234 754504
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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
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computer literacy, good inter-personal communications skills. Desirable skills: A Master in Health Economics with experience in cost effective analyses. Funding notes The three year studentship covers UK
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titles and the reference number, to Doctoral College at doctoralcollegeadmissions@herts.ac.uk . Insert the following in the email subject line: “CFSR Research Studentships”. Enquiries: For procedural
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follows: a motivation letter (max. one page) a curriculum vitae with a list of publications and presentations (max. two pages) name, affiliation, and email address of at least two referees (which will be
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an independent impact assessment of potential climate interventions in the Arctic marine environment through laboratory experiments and computer modelling. The team will develop physical, climate and ecosystem
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novel sensing approaches to combine with machine learning algorithms to solve real-world problems in food manufacturing. You will have sound knowledge in electronic engineering, embedded systems design
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to linked data. The overarching goal will be the integration of routinely collected data (e.g. molecular genomic data with clinical data from electronic health records) to address specific research questions