53 parallel-programming-"Multiple"-"Simons-Foundation" Fellowship positions at University of Birmingham in United Kingdom
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the appropriate area. Familiarity with statistical analysis software (e.g., STATA, R, SPSS) or computer programming (e.g. C++, Python, R) and experience working with health-related data will be advantageous
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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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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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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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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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requirements and use resources effectively Understanding of and ability to contribute to broader management/administration processes Contribute to the planning and organising of the research programme and/or
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date: 19th June 2025 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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set out in the fellowship and in the University of Birmingham’s graduate Programme of study. To contribute to the enhancement of scientific understanding of chronic inflammatory disease mechanisms in
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of Birmingham is inviting applications for a Research Fellow position focused on Machine Learning for Automated Formal Verification. Machine learning has transformed programming, with code generation rapidly
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: 21st August 2025 Background To create and contribute to the creation of knowledge by undertaking advanced analysis and validation experiments within the MRC BioFlare research programme: Although outcomes