123 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" "UNIV" "UNIV" "Univ" positions at University of Leeds
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data for research, behavioural science, implementation science/knowledge mobilisation, advanced evidence synthesis (network meta-analysis, individual participant data meta-analysis). We are seeking
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sexual misconduct cases. You will work closely with all members of the Student Cases team, as well as liaising with students, supporters, Schools, committees, the Student Information Service and Leeds
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administrative skills, with experience of manipulating and maintaining user data. You will have communications experience, with excellent written and verbal communications skills, a keen eye for detail, creative
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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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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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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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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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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