48 parallel-computing-"Multiple" Fellowship positions at University of Birmingham in United Kingdom
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, Fixed Term contract up to August 2028 Closing date: 19th August 2025 UK and International travel may be required for this role Background The post holder will be required to carry out computational
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partners. Main Duties Improve, develop, implement, and apply advanced computational tools and workflows to process, analyse, and interpret large-scale LCMS-based metabolomics datasets across multiple species
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Job Description Position Details School of Computer Science Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally in the range £36,130 to £45,413 with
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Job Description Position Details School of Computer Science Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally in the range £36,636 to £46,049 with
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particularly suited to candidates with a strong quantitative background. We welcome applicants with training in mathematics, statistics, health economics, computer science, or epidemiology, particularly those
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in at any time. Background To create and contribute to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or specific research
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of knowledge by undertaking a specified range of activities within an established research programme and/or specific research project. In our previous study (https://warwick.ac.uk/fac/soc/cidd/covid19
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methane exchange in upland trees drawing on information derived from parallel field studies spanning a rainfall gradient in Ghana (and elsewhere) and modify empirical models of tree methane exchange
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for a fixed term up to end of June 2028, ideally starting in September 2025. The position comes with an allowance to cover international travel and computing. Role Summary We are seeking to appoint
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, clustering), statistical modelling, and other computational techniques Process large scale text data sets in multiple languages Create documentation for data and processes guided by principles