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Field
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of mineralogical characterization of materials (pictorial and others) to the understanding of rock surfaces. The use of hyperspectral imaging, which is non-invasive and non-destructive, is central to current
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mononuclear cell (PBMC) analysis and RNAseq, as well as whole slide images (WSI) and immunohistochemistry images on an OMERO online repository. With funding from Cancer Research Horizons, the data is being
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at a time. Understanding how multiple exposures interact, and how they affect different parts of the respiratory system, is therefore critical for building a more accurate picture of their impact on
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well as train and support lab scientists on various cell biology and microscopy techniques including live imaging using confocal microscopy Train and support lab members on standard and emerging molecular biology
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capabilities. Both conventional and ultra-high dose-rate proton therapies demand advanced imaging technologies to enable accurate in vivo three-dimensional dose verification and treatment delivery assessment. A
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-term epigenetic reprogramming in microglial cells, and microglia–T cell interactions. Using state-of-the-art approaches including single-cell and spatial transcriptomics, functional imaging, and
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‑management strategies, toughening mechanisms, resin ageing and tack behaviour, and AI‑driven cure‑kinetics optimisation. You will have access to world‑class facilities, including advanced imaging
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features from multiple imaging modalities (CT, MRI, PET, ultrasound); (2) design advanced AI algorithms for early-stage cancer detection with high sensitivity and specificity; (3) create user-centric AI co
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, the project will: Develop novel, modular statistical solvers to integrate domain-specific knowledge directly into latent variable models. Account for spatial structures, physical laws, high-dimensional imaging
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. or Diploma in bioinformatics or a comparable qualification Extensive programming experience Practical experience in machine learning and the application of large language models Knowledge of OMICS and image