62 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at University of Liverpool
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The Department of History (https://www.liverpool.ac.uk/history/) seeks to recruit a Postdoctoral Research Associate to work on 'Monastic Economies in the Carolingian Age - 'Farfa and Fulda', a
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the role for you then we would love to hear from you. For further information and details of how to apply, please visit ¿ https://recruit.liverpool.ac.uk The closing date for applications is Wednesday 7
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days. The salary is pro rata, plus night enhancement and holiday allowance. The post is available from November 2025. For general information about the Equine hospital visit: https://www.liverpool.ac.uk
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Gabbay and Barr) in the strategic development and delivery of the ARC programme. We are leading together the next ARC from 2026-31, and it is intended this postholder will have a key role in that expanded
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Are you eager to make a meaningful impact on paediatric patient lives while honing your data science expertise? Join our vibrant, cross-disciplinary team as a Computational Biology Data Scientist
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, meaning that familiarity with one or more cloud-based platforms such as Google Earth Engine, Microsoft Planetary Computer and/or Amazon Web Server/similar is essential. It will also involve the development
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We are seeking an experienced GPhC registered technician for to support the new University of Liverpool Master of Pharmacy programme. Commitment to Diversity The University of Liverpool is committed
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The University of Liverpool is seeking a committed HCPC-registered Clinical Psychologist to join the core academic team of its well-established Doctorate in Clinical Psychology (DClinPsy) programme
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at the University. You should have 3 x GCSE's at grade C (4) or above (or 3 x functional skills qualifications level 2 or equivalent), including English Language, Mathematics, and Information Technology / Computer
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The School of Computer Science and Informatics is seeking to appoint an individual to work on rigorous methods to address the risks of generative AI systems. The primary focus will be on techniques