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unprecedented precision, one at a time and in real time (Nature, 2010; Nature Nanotechnology, 2012, 2017; Science 2025). The project involves a combination of optical imaging, nanofabrication, data analysis, and
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About the role We are seeking an outstanding candidate to work in the Process Dynamics group to contribute to advanced research in AI-driven X-ray imaging for metal alloy solidification
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. The research involves developing a new generation of radiation detectors that can make medical imaging safer and more effective. The focus of this project is to scale-up the detectors from research-level single
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characterisation using multi-modal operando datasets. Practical experience in the design, construction, and operation of experimental setups for imaging-based investigation, of battery behaviour under in situ
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soft matter, with expertise in microscopy, optical imaging, and data analysis. Experience in building and working with optical traps will be highly rated in the selection process. The project also
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two years. The project involves the design, synthesis and spectroscopic characterisation of lanthanide complexes, including their application as probes for biological imaging and sensing, and is funded
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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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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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to publications and presentations in leading statistics or machine learning journals and conferences are essential. Experience with brain imaging data, large-scale population datasets, longitudinal biomedical
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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