55 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"I.E" positions at University of Leeds in United Kingdom
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structural and functional data, will present new routes to improved control of spores. You will use modelling and simulation tools to perform molecular dynamics simulations of SleB and of some of its partner
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to qualify for salary concessions. For more information please visit: www.gov.uk/skilled-worker-visa . What we offer in return 26 days holiday plus approx.16 Bank Holidays/days that the University is closed by
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of the post. To explore the post further or for any queries you may have, please contact: Sophie Bramley, Leeds Institute for Societal Futures Email: s.g.bramley@leeds.ac.uk Additional Information Working
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of the post. To explore the post further or for any queries you may have, please contact: Sophie Bramley, Head of Leeds Institute for Societal Futures Email: s.g.bramley@leeds.ac.uk Additional Information
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might need to qualify for salary concessions. For more information, please visit the Government’s Skilled Worker visa page. For research and academic posts, we will consider eligibility under the Global
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eligibility under the Global Talent visa. For more information, please visit the Government’s page, Apply for the Global Talent visa . What we offer in return • 26 days holiday plus approx.16 Bank Holidays
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Please note that this post may be suitable for sponsorship under the Skilled Worker visa route but first-time applicants might need to qualify for salary concessions. For more information, please visit
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an appropriate discipline. Ideal candidate will have some prior knowledge in deep learning and computer graphics. Subject Area Medical imaging, biomedical engineering, computer science & IT
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note that this post may be suitable for sponsorship under the Skilled Worker visa route but first-time applicants might need to qualify for salary concessions. For more information, please visit
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be used as an alternative. This project will evaluate several ideas to make these materials sustainably and generate data to confirm the processes have the potential to be greener than the current