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for Disaster Reduction), UAL’s CRiSAP (Creative Research into Sound Arts Practice), and other partners. By drawing connections between historical and contemporary images, texts, and sounds from both risk
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and under load. Multi-scale modelling based on continuum mechanics and hydrodynamics informed by experiments and molecular modelling. High-throughput data analysis and image processing using Python
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candidate must have experience in the following areas: molecular cell biology, plant phenotyping, and image/data analysis, as well as working as part of a large team. A track record of publishing research is
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in and knowledge of the broad area of soft matter, with expertise in microscopy, optical imaging, and data analysis. Experience in building and working with optical traps, and familiarity with colloid
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considered. The successful candidate must have experience in the following areas: molecular cell biology, plant phenotyping, and image/data analysis, as well as working as part of a large team. A track record
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. By drawing connections between historical and contemporary images, texts, and sounds from both risk communication (warnings) and contemporary art (scores), the project will establish a critical
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, with experience of microbiology and scientific imaging, to conduct research into bacterial circadian rhythms. This will contribute to the ERC-funded programme “MicroClock” and an affiliated BBSRC project
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high content imaging, multimodality in vivo imaging, proteomics, spatial and single-cell transcriptomics. As part of King’s Health Partners, we have an excellent environment for basic-clinical
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Waite and team on the ‘Evaluating the Usability and Acceptability of a Prototype AI-Powered Recovery Pathway Progress Dashboard (AI-ERPP Dashboard) for Tracking Postoperative Recovery by Registered Nurses
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of collegiality Desirable criteria Extensive experience with confocal microscopy and live imaging Experience with biomechanics concepts and techniques such as AFM, micropipette aspiration and/or nanoindentation