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programming (particularly IDEA) or image reconstruction Experience of computational modelling and simulatxion Knowledge of statistical and/or machine learning methods e.g. for 3D imaging data for applications
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physiological or biomedical datasets, including real-time and archived data sources. Strong background in signal processing, time-series analysis, or image processing. Strong background in statistical and machine
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IV’s, administer contrast media as directed and p er protocol. Evaluate MR scans for technical quality, collate processed images and sequence of acquisition and label appropriately. Schedule patients
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-learning–based segmentation, species classification and lineage tracking workflows for multi-species time-lapse data Optimise models and pipelines for real-time performance, enabling adaptive imaging and
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Post-doctoral Researcher in Multimodal Foundation Models for Brain Cancer & Neuro-degenerative Disea
Qualifications PhD in machine learning, computer vision or a related field. Established expertise in deep learning methods applied to images analysis. Experiences with generative models, volumetric image