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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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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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fundamental cellular processes in either prokaryotes or eukaryotes. We particularly encourage applicants working molecular mechanisms related to metabolism or cellular chemistry, including, for example
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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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ganglia cultures to benchmark the newly developed iPSC derived organoid model systems. This will include processing of human DRG and nerve roots with subsequent cellular and molecular analyses looking
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for real-time human data processing in interactive settings. Technical expertise in areas such as electrophysiological recording, VR paradigm design, closed-loop algorithm development, or clinical
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, This opportunity allows a postdoctoral researcher to work on an industrially facing project, applying artificial intelligence (AI) methods to better inform processing to obtain high-quality engineering polymers from
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frameworks is essential. Experience of working with UK Biobank imaging or similar large-scale population would be desirable. Diversity Committed to equality and valuing diversity Application Process You will