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Field
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Role We are seeking a highly motivated and experienced computer scientist to lead the analysis and interpretation of multimodal imaging, including spatial transcriptomics, single cell and large-scale
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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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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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. 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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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
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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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Novel Nanoswimmers - exploring novel routes to propulsion at the nanoscale. School of Chemical, Materials and Biological Engineering PhD Research Project Self Funded Prof Jonathan Howse, Dr Stephen
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& Humanities provides transformative learning experiences through intellectually and conceptually connected postgraduate degrees from Master’s level to PhD. Our teaching and research integrate traditional and