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). Bioelectronics – particularly those integrated with tissues or organs, or organs on chip, providing sensory capacity for real time measurements. Biomedical AI – holistically, e.g. time series and image analysis
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supplemented, enhanced, and analysed during the project. We will use digital imaging and other techniques to recover new texts and will deploy approaches from Computational Linguistics (including Large Language
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imaging Hormone signalling pathways Experience working with rice or Arabidopsis is advantageous A track record of publishing in peer-reviewed journals Further Details Hours: Full time (36.25 hours per week
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medicine research team and key academics and investigators across the rheumatology and cardio-rheumatology field and imaging groups to support novel and ambitious research studies. The post requires working
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to assist with human physiology (e.g., imaging and exercise testing) aspects of the project from time-to-time. You will join an established team, led by Prof Bethan Phillips, whose main areas
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during routine medical imaging. This reduces reliance on invasive biopsies and accelerates diagnostic processes. Beyond classification, the platform combines multimodal inputs to provide personalized
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highly desirable: · Root biology, cell or developmental biology · Molecular biology approaches (e.g., single-cell or spatial transcriptomics, protein–DNA interactions) · Cellular and confocal imaging
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the underground infrastructure theme within the Quantum Technology Research Hub in Sensors, Imaging and Timing (www.quisit.org ). The successful candidate will focus on designing and conducting large scale
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computational systems biology and laboratory science to better treat cancers. You will work independently to lead a project funded by Leukaemia UK, produce high quality academic publications, and share your work
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mitochondrial biology. Previous experience in Drosophila work and confocal imaging would be a strong plus. Role Summary Work within specified research grants and projects Operate within area of specialism Analyse