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techniques including behavioural analysis, functional imaging, and brain stimulation. Together, these are used to provide a picture of the unique and privileged processing that occurs to memories offline
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, medical imaging, and spatial omics data analysis. For further information, please contact Dr Ke Yuan (https://www.crukscotlandinstitute.ac.uk/cruk-si-research/cruk-si-research-groups/ke-yuan.html) ke.yuan
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, including animal models of hypertension and PE, cell culture, imaging, molecular biology approaches as well as RNASeq and other ‘Omics’ datsets and bioinformatic and pathway analysis. This PhD project will
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Professor Hing Leung and the wider multi-disciplinary research team. We are looking for candidates with experience/strong interests in learning some of the following: deep learning, medical imaging, and
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Job Purpose We are seeking to recruit a motivated and creative Research Assistant/Associate (postdoctoral researcher) to work within an MRC-funded research programme (https://gtr.ukri.org/projects
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cancer, several deep learning studies using Haematoxylin and Eosin (H&E) images have demonstrated that the spatial organisation of stromal and immune cell populations within the TME are relevant to tumour
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equivalent. B2 A knowledge of Raman microscopy and/or single cell Raman spectra analysis. Skills Essential: C1 Microfluidic techniques used to manipulate molecules or particles. C2 Instrumentation and imaging
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modifying benchtop optical systems (e.g. modular microscopes, bespoke imaging/spectroscopy systems, etc.); adapting microfluidic systems to meet specific experimental needs, including fluid handling, flow
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key regulatory pathways. Confocal imaging will be used to monitor the subcellular localization and dynamics of fluorescently tagged proteins during heat stress under various light regimes. Furthermore
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Techniques: The tools we have experience with (see most linked articles in the text) are primary culture, high-resolution live imaging, traction force microscopy, AFM, substrate fabrication, membrane tension