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use Kristin Lohwasser and Trevor Vickey as contact persons. For further Information, please email k.lohwasser@sheffield.ac.uk and T.Vickey@sheffield.ac.uk or look at the University’s website: https
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About Role Join Queen Mary University of London, a world-class institution dedicated to providing global opportunities, as the EAF Data and Analytics Manager. Reporting to the Head of EAF Systems
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information on Skilled Worker visa eligibility: https://www.gov.uk/skilled-worker-visa Anonymous shortlisting will be carried out for this role as part of Aston University’s commitment to equality and
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, where relevant, produce concise written summaries of results for senior staff. Analyse and interpret data using standard procedures and present findings accurately. 4. Contribute to the safe and well
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full-time, one ending on 30th September 2029 and one Maternity cover until 30th April 2027. The Population Data Science group at Swansea University (https://popdatasci.swan.ac.uk/ ) supports world
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of technologies that are used in academia, industry and many related careers. Visit http://www.sheffield.ac.uk/sgs to learn more. Please apply for this project using this link: https://www.sheffield.ac.uk
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-friendly policies, and support to allow staff achieve a good work-life balance. Appointment will always be made on merit. For further information, please visit: https://www.bmh.manchester.ac.uk/about
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@sheffield.ac.uk or look at the University’s website: https://www.sheffield.ac.uk/postgraduate/phd. Further Information on the Particle Physics group in Sheffield and our projects can be found here: https
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to read written instructions, communicate and exchange information verbally in English to enable the safe use of cleaning products, following necessary CoSHH training. C3 Self-motivated with the ability
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hands-on experience with modern robotic welding cell, advanced imaging sensors (including high dynamic range camera and arc/melt-pool vision), real-time data acquisition, and in-house metallurgical