90 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" positions at University of Liverpool
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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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You will work within the Engineering Services Group of the Facilities Residential and Commercial Services department, and you should have experience of working within the Construction and Mechanical
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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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; applicants with PhDs will be preferred. Applicants should also have experience of conducting high quality computer science research and be able to demonstrate sound software engineering and programming skills
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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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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 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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with our industrial and UK university partners, a novel research programme will be implemented based on modelling, control and optimisation of an integrated power and transportation networks. Key
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POSTDOCTORAL RESEARCH ASSOCIATE MODELLING VECTOR (TICK) ECOLOGY AND TICK-BORNE PATHOGEN TRANSMISSION
and Botswana International University of Science and Technology. A PhD in a Biological Science, Computer Science, Mathematics or Statistics, and relevant experience modelling population dynamics
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Computer Science, Chemistry, Chemical Engineering, Physics, or Materials Science. You will develop optimisation and machine-learning algorithms for human- and literature-informed discovery of new materials