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for high-dimensional datasets, including spatial bulk and single-cell RNA sequencing, mass and flow cytometry, and imaging data derived from both patient samples and experimental models. The overarching aim
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working within Theme 3 of the Programme: ‘Image-guided Surgery’ and will involve the synthesis and assessment of novel multimodal nanomaterials for healthcare applications and radiolabel for PET imaging
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for optical imaging. Experience and interest in data analysis and the ability to perform basic biochemical work with proteins and DNA will be highly rated in the selection process. The ideal candidate will hold
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biology in atherosclerosis. The project will combine patient-derived endothelial colony-forming cells with advanced coronary artery imaging from patients at Barts Health NHS Trust to identify individuals
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collaborative programme bringing together a team of leading experts in advanced electron microscopy imaging, first-principles modelling, metal halide semiconductor thin-film and device fabrication, and
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. About You You will have, or be close to completion of a PhD/DPhil in Statistics, Machine Learning, Data Science, or a related quantitative discipline. You will demonstrate strong specialist knowledge in
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bioinformatics. The role will be responsible for developing and characterising human dorsal root ganglia cultures to benchmark the newly developed iPSC derived organoid model systems. This will include processing
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and forward-looking environment in which colleagues can develop their careers and contribute to shaping the future of computer The Role The role focuses on advancing research in explainable and
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spectroscopic tools (photoelectron imaging and action spectroscopy) to study the structure and dynamics of transition metal complexes. The research project aims to develop a new method for elucidating
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into the regulation and function of diverse cellular processes. To this end, we use Vaccinia virus as a model together with quantitative imaging and biochemical approaches to study a variety of cellular processes