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motivated computational Postdoctoral Research Assistant to lead on an established and successful research line aimed at understanding the genetic events that drive cancer evolution. We have a long-lasting
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related to gravitational wave astronomy. The primary aim will be the development of advanced approaches for computational Bayesian Inference to measure the properties of Compact Binary Coalescence signals
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have a PhD and track record in either computer science with specialisation in relevant AI technologies for surrogate modelling, or in Earth or Environmental Science with a strong track record in
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at the Barts Cancer Institute (Queen Mary University of London). This role will involve analysing existing spatial-omics data sets and developing novel computational tools to understand the risk of developing
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project investigating mechanosensing in Diptera. This post will focus on using detailed wing geometry models and kinematic measurements in computational fluid and structural dynamics simulations to recover
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with Prof. Heath Murray at Newcastle University. The group has routine access to the Titan Krios microscopes at LonCEM and eBIC and an in-house computing infrastructure for data processing. About You We
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et al, Leukemia 2018; Poynton et al, Blood Adv 2023; Coulter et al, J Mol Diagn 2024). The wet lab/computational biology postdoc will lead a project investigating residual follicular lymphoma cell
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Computer Science as part of Royal Holloway’s Centre for AI. Royal Holloway offers an extensive rewards and benefits package including generous annual leave as well as a wide variety of training and development
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. The Institute is organised into six separate research centres which, though complementary and following the Institute strategic plan, also have Centre-specific objectives and requirements. The Centre for Cancer
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science. About You We are seeking a PDRA who will use advanced statistical and computational methods to analyse multi-omics datasets, such as genomics, proteomics, and metabolomics. You will develop