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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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and teaching experience in areas such as Computational Social Science, Argumentation Mining, Applied Communication Sciences, Natural Language Processing, and Social Data Science. The successful
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in the recently formed Data Science and Computational Modelling Unit (DSCMU) at MLW. MLW have renewed Wellcome core funding for seven years (2025-2032). As part of the current 10-year strategic plan
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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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This post is part of a Cross Research Council Responsive Mode grant “Sensing and computing taking wing: unravelling the mysteries of seabird navigation”. This is a collaborative interdisciplinary
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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
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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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We are looking for a keen and ambitious individual who has an interest in specialising in Molecular Biology and will join a team of technicians working in Good Clinical Practice as applied in
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before expanding the methodology to other species to support global food security. Candidates should have a PhD in Computational Biology, Bioinformatics, or a related quantitative field, with proficiency
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the office, the role will be based in the Liverpool Science Park. Informal enquiries about the post can be directed to Rachel Thompson (CHIL Programme manager) rachel.thompson@liverpool.ac.uk Our commitment