12 computer-science-image-processing "https:" "UCL" "UCL" "UCL" positions in United Kingdom
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assistance programme: Staff Support Service Discounted medical insurance Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more. As London’s Global University, we know diversity fosters
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About us The UCL Laboratory for Molecular Cell Biology (LMCB, http:/www.ucl.ac.uk/lmcb) is an internationally renowned, multidisciplinary, molecular and cell biology department, located in the heart
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-cell approaches, the lab maps vulnerability and resilience in ageing brains. By combining molecular cell biology with computational tools - including AI-driven hypothesis generation - we aim to uncover
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imaging with computed tomography, magnetic resonance imaging and positron-emission tomography CT/MRI for patients with suspected lung cancer. At UCLH, we have a bronchoscopy suite with state-of-the-art
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imaging, spatial data analysis, and machine learning. One arm of the project will seek to engineer diverse quantitative features (e.g., adapting concepts and metrics from network science [5] to characterise
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. Techniques to be used: Brain imaging (fMRI) Behavioural methods (psychophysics) Python programming References Petro et al., (2014), Contributions of cortical feedback to sensory processing in primary visual
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Fully funded Wellcome Trust Integrative Infection Biology PhD programme Immunology research includes cytokine and chemokine biology, immune cell signalling, advanced imaging technologies, and
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microscopy and atomic force microscopy. Molecular cell biology, animal models, MRI imaging, transcriptomics. References Plaisier E, et al. Role of COL4A1 Mutations in the Hereditary Angiopathy with Nephropathy
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. Nanomaterials 2023, 13, 1190. https://doi.org/10.3390/nano13071190 Mesenchymal Stromal Cell-derived Extracellular Vesicles in Wound Healing Supervisor: Catherine Berry MSc choices: Stem Cell Engineering for
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research: milestones and perspectives. Trends Plant Science, https://doi.org/10.1016/j.tplants.2023.07.001 RECROP COST, Integrative approaches to enhance reproductive resilience of crops for climate-proof