435 parallel-computing-numerical-methods-"https:" Postdoctoral positions in United Kingdom
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of novel methods and analysis of remote sensing data to monitor water table dynamics and biophysical properties of northern peatlands, from local to Holarctic scales. The position also involves participation
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of work with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National
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are looking for a researcher with a PhD (or near completion) in engineering, data science, computational social science or a related discipline, with experience in data analytics, NLP or machine learning. You
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craniofacial project and the application of dental data to the creation of a 3D digital avatar. You will require a 3D animation, computer science and/or anatomical modelling background. A knowledge of dental
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of Dr. Marios Kogias as part of his ERC Starting project titled CloudNG (https://cordis.europa.eu/project/id/101220079 ). The post will be based in the Department of Computing at Imperial College London
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The opportunity The University of Liverpool is a key partner in a £14 million initiative (https://tinyurl.com/yc5z768m) to develop a sustainable, next-generation manufacturing facility, using
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23 Jan 2026 Job Information Organisation/Company DURHAM UNIVERSITY Research Field Computer science Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Application Deadline 11
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the robustness and sensitivity using quantitative microbiological molecular methods for the lysis solution to process multiple sample types, concentrating on samples of tongue swabs, exhaled breath condensate and
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high quality research Experience of ancient DNA laboratory methods (DNA extraction, Illumina library building, targeted enrichment) Experience of using computational tools for population genetic analysis
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of triterpenoid bioactives, inspired by the chemical diversity of the Plant Kingdom. The post is part of a larger programme in the Osbourn lab on harnessing plant metabolic diversity for medicinal, agricultural and