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cavitation detection, imaging, and monitoring. You will be responsible for engaging in reactor design, construction, development, and characterisation. You will also be expected to integrate a cavitation
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managing and converting between file formats Experience with spatial data analysis tools/platforms (e.g.: napari) Programming skills working with image data in Python Experience with metadata, data
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of their expression and action are unknown. This project aims to understand the spatiotemporal expression of these siRNAs at the cellular level through imaging approaches. The selected candidate must have proficiency
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and improved reaction conditions, design and implement end-to-end workflows integrating AI/LLM models with automated experimental platforms and computational chemistry tools, prototype and evaluate
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proteins and protein-protein interactions. Previous experience in molecular cloning, confocal imaging and biochemical assays is also required, in addition to evidence of at least one first-author research
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-clamping (mandatory) and Ca2+ imaging as well as FRET; test hypotheses and analyse scientific data from a variety of sources; and collaborate in the preparation of scientific reports and journal articles and
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cardiovascular disease. You will have proven experience in endothelial tissue cell culture, molecular biology techniques including cloning, confocal imaging and biochemical assays (SDS-PAGE and Western blotting
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and improved reaction conditions, design and implement end-to-end workflows integrating AI/LLM models with automated experimental platforms and computational chemistry tools, prototype and evaluate
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stable plant transformation approaches. Successful delivery of these research objectives will require expertise in advanced microscopy techniques and imaging, plant histology, and a strong foundation in
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, collecting data on small-scale movements of the eyes during visual tasks using high-resolution in vivo retinal imaging. The post is full time for 12 months or until the grant end date of 30 June 2027