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using techniques such as X-ray micro-computed tomography and X-ray Absorption Near Edge Structure (XANES). You will also undertake laboratory-based imaging and develop analytical workflows to process and
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at establishing synthetic motion as a new paradigm for spatio-temporal metamaterials. Collaboration within a multidisciplinary team involving experimental and theoretical physicists. Involvement in publications
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(XANES). You will also undertake laboratory-based imaging and develop analytical workflows to process and interpret complex 2D and 3D datasets. Working closely with the research lead and an
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skills and be well organised including good time management. Experience in biomechanics and/or image processing would be desirable but not essential. How to apply: Please complete a University Postgraduate
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to understand how tumour metabolism varies between and within patients, how metabolic state shapes tumour phenotype and heterogeneity, and how these processes influence response to therapy. A central focus will
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experience in developing for moving image, editing, mobile apps, and interactive content. Demonstrating design software and associated processes form the essential criteria of the role. You will be able
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sequencing, imaging and other emerging technologies (e.g. imaging mass cytometry, spatial transcriptomics) – including aspects of informatics and advanced data analysis. You will be responsible
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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 are committed
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to: Develop AI and machine learning workflows to analyse microscopy and high-content imaging data from advanced in vitro models. Build computer vision pipelines for image segmentation, tracking, phenotypic
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to the candidate progression pipeline. Carry out immunostaining, fluorescence/confocal microscopy, image analysis and quantitative data analysis. Coordinate with fungal engineering and bioelectronic interface teams