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apprenticeship plus ideally 3-5 years’ post-qualification work experience Substantial experience of working with CNC machines Knowledge of CAD drawing facilities and mechanical design skills including coding, and
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high-dimensional biological data and applying quantum computing methods to data analysis. Have an active GitHub profile evidencing ongoing code development and contributions. For further information
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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://www.sheffield.ac.uk/postgraduate/phd. Further
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lab manual, mission statement, and current research topics please visit: http://whelanlab.co.uk What you will get in return: Fantastic market leading Pension scheme Excellent employee health and
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visit http://ktp.innovateuk.org/ . The skills the Associate will develop will put them at the cutting edge of power grid cyber-physical security, equipping them to address emerging threats, design
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). All applicants must meet UKRI terms and conditions for funding. See: https://www.ukri.org/funding/information-for-award-holders/grant-terms-and-conditions/ How To Apply You must apply through
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about this project. Funding Notes We welcome inquiries from: - applicants that have already secured PhD funding - self-funded applicants References https://microbialphysicsgroup.sites.sheffield.ac.uk
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specification, as well as an indication of the reasons for your interest in this opportunity. Completed applications should be uploaded at https://plusportal.perrettlaver.com/VacancyDetail/f489f8ce-0fd8-33e1-0ca9
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¿ For details, see: https://www.manchester.ac.uk/study/postgraduate-research/golden/melbourne/ Contact details for enquiries Useful links Back to list of opportunities
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We are seeking to appoint a Postdoctoral Research Scientist in Statistics to join Professor Xin Lu’s group, with an affiliation with OPIG. The Lu Group (https://www.ludwig.ox.ac.uk/research/xin-lu