142 computer-science-quantum "https:" "https:" "https:" "https:" "U.S" positions at University of Liverpool
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We are looking for an outstanding and highly motivated Postdoctoral Research Scientist to join the PERMEDIC project team (https://perame.eu/), an exciting European Innovation Council (EIC) funded
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permanent post and is available from 9th February 2026. For general information about the SATH visit http://www.liv.ac.uk/sath/ Commitment to Diversity The University of Liverpool is committed to enhancing
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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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The Department of Chemistry at Liverpool is one of the most exciting places in the UK to study or research Chemistry. Our pioneering research, bringing about positive changes to society and the
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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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to building a strong, technology-driven team to support these developments. The successful candidate will administer and further develop research computing platforms across local and national resources
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The Opportunity You will play a vital role in advancing next-generation intelligent systems within the School of Computer Science and Informatics. Working closely with the Principal Investigator and
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of ¿Response Mode¿. Academic Training: A bespoke academic training programme will be developed according to the interests of the appointed candidate and hosted within the Department of Molecular and Clinical
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areas of our research programme, particularly by providing specialist advice and leadership in crystallography. This will Include, managing the teams working on the development of new automated methods
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the Institute of Systems, Molecular and Integrative Biology at the University of Liverpool. You will be responsible for applying computational methods on datasets generated from sequenced samples collected