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population genetics, bioinformatics, computational biology, statistics or probabilistic machine learning and computer science. Experience of working with large genotyping or sequencing data sets A proven
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must be experienced in working as a professional researcher on servitization programmes and have experience in producing high-quality publications. You will need to possess good interpersonal and
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economic, social and cultural benefits. For more information please visit: https://www.brunel.ac.uk/about/our-history/home The Department of Computer Science at Brunel where this project will be conducted
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the Project PI. ii. Meeting the deliverables by carrying out the computational simulations and experimental studies planned for under the scope of work of the projects within the timeframe to meet the
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This post is full time, and has funding for up to 1 year. The School of Chemistry is looking to recruit a Research Associate/Fellow in Digital Chemical Robotics to make a leading contribition to a project working with Prof Lee Cronin. (www.croninlab.com ). The researcher will be working in the...
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This is a Research Fellow post to support the NIHR funded programmes OPtimal Timing of Induction of labour to improve Maternal and perinatAL outcomes (OPTIMAL): An individual participant data meta
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integration into 999 services. About you We are looking for someone who: Has experience in applied health, social care or emergency services research. Can plan and carry out data collection using qualitative
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Grade 7 (£41,064 – £48,822 p.a. depending on experience) This role will be based on the university campus, with scope for it to be undertaken in a hybrid manner. We are also open to discussing flexible working arrangements. Are you an experienced and ambitious researcher looking for your next...
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September 2025, with an end date of 15th of June 2026. Your skills and attributes for success: A PhD or last year PhD student in Statistics, Operations Research, Computational Sciences or Economics
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. Using our modelling frameworks which capture metabolic and gene expression constraints and recently benchmarked computational tools for systems identification and model calibration, you will develop new