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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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responsible for delivering and coordinating the Aortic Stenosis (AS) arm of a prospective clinical imaging research study. The post-holder will oversee the day-to-day running of the patient pathway from
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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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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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physiological processes at the molecular, cellular, tissue and systems level of organisation. In so doing we provide a bridge to translational medicine, and interface between physical and life sciences. We
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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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The Department of Biochemistry is recruiting two Associate Professors in the in the areas of Molecular mechanisms involved in fundamental cellular processes, focused on prokaryotic or eukaryotic
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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