158 computer-security "https:" "https:" "https:" "https:" "https:" "Dr" "Keele University" uni jobs at Cardiff University
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the research groups of Professor Eddie Wang and Dr Ceri Fielding, in the Division of Infection and Immunity at Cardiff University School of Medicine, based at Heath Park Cardiff. This role will involve examining
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, regulatory processes, and research delivery Contribute to outputs aligned with national priorities, including reports, publications, and funding development Partake in a programme of professional development
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annum (Grade 6) https://www.cardiff.ac.uk/jobs/what-we-can-offer/financial-benefits/pay-scales Job ref: 21142BR For informal enquiries about the post please contact Sam Ladak (LadakS@cardiff.ac.uk
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School please visit: http://www.cardiff.ac.uk/computer-science. Internal candidates are welcome to apply for this role as a secondment with their current line managers approval. Date advert posted: Friday
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part of the UKRI-funded Future Leader Fellowship project investigating epigenetic regulation of lung fibrosis led by Dr Renata Jurkowska at the School of Biosciences, Cardiff University. You will work
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interpretation of data from the UKRI NERC GRIM-SAF research programme, towards its publication in high-ranking international journal articles. This research program is conducted in partnership with
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support processes (undergraduate and postgraduate taught) relating to programme delivery, programme management, teaching quality assurance, student experience, student cases, assessments, awards and
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please contact Dr Liz Forty, Director of My Medic LDU via fortyl@cardiff.ac.uk or 029206 88416. Salary: £41,064 to £46,049 per annum, pro rata (Grade 6). Appointments to roles at Cardiff University
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computer and IT skills, Kinetics, Oracle, Microsoft Word, Excel, emails, including use of internet and online calendar. Level 3 Food Safety and Level 2 Health and Safety. Desirable CriteriaExperience
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advanced computer modelling (in silico), through robot driven testing of implanted knees (in vitro), to 3-dimensional X-ray imaging of moving patients (in vivo) with Machine Learning driven analysis