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Field
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high-throughput screening using genetic and imaging tools. Apply molecular and cellular assays to study inflammatory processes. Analyse integrative omics datasets using bioinformatics and machine
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: 1089, bioRxiv (2025)) by carrying out protein biochemical, cell biological, and live cell fluorescence imaging experiments. Associated structural analysis of the proteins by cryo-electron microscopy will
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geomaterials. A particular focus will be on the soil micro-structure evolution and how this links to macro-scale behaviour, using advanced laboratory tests, imaging techniques, and computer simulations. The
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high-throughput screening using genetic and imaging tools. Apply molecular and cellular assays to study inflammatory processes. Analyse integrative omics datasets using bioinformatics and machine
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to process large (tens to thousands of TB) optical imaging datasets. • Develop, apply and deploy data handling pipelines designed to process multimodal imaging data with dozens of imaging channels
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. We study the fundamental molecular, cellular, and physiological processes that underly normal and abnormal cardiovascular and metabolic function and drive the translation of this strong basic science
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resolution. The development of new imaging modes will also require new acquisition and computational processing techniques, and you will work closely with the theory and algorithmics project group. Ultimately
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, Mechanical Engineering, and Surgery & Cancer. What you would be doing: The post will support the multispectral imaging theme of the Hub award, and you will be expected to play a key role in developing and
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of the recruitment process. Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will
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criteria PhD (or near completion) in bioinformatics, computational biology, machine learning, or a related field Significant experience in the analysis of cell- or imaging-based datasets, such as spatial