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) for different scientific applications, including simulations, large-scale data analyses and AI. This will involve designing test protocols, building test benches to track power and energy usage, and running
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prostate cancer risk across diverse ethnic groups. This work aims to support more equitable risk stratification in cancer screening programmes. Using simulations based on multistate modelling framework
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your academic profile in a friendly, supportive, and dynamic centre, with the possibility of contributing to scholarly and policy publications, research seminars and transitioning into a PhD and/or
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researchers, molecular biologists and computational microbiologists. Our work is funded by the Ellison Institute of Technology, Oxford Ltd and the pipelines we develop are deployed in https://www.eit
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diversity. We work to identify the genes that regulate plant development, describe the evolutionary histories of these genes, and connect the molecular evolution of developmental genes to the evolution
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to linked data. The overarching goal will be the integration of routinely collected data (e.g. molecular genomic data with clinical data from electronic health records) to address specific research questions
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include simulation and control implementation, data analysis, and knowledge dissemination through technical documentation and stakeholder workshops. This is a full-time, fixed-term role starting 1 September
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. The ideal candidate will have hands-on experience in encoded library design/ screening or other selection techniques. A strong background in molecular biology, protein and peptide chemistry, next-generation
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dynamic School of Biological Sciences (https://www.southampton.ac.uk/about/faculties-schools-departments/school-of-biological-sciences ). The project will involve close collaboration with an international
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, molecular biology, and biochemistry. Some previous experience in a similar lab setting would be helpful, but training will be provided. This is a great opportunity to build practical skills and address