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research experience in compressed sensing and/or multi-contrast image reconstruction, and are keen to push the boundaries of what is possible with affordable imaging platforms. For informal enquiries, please
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of a prototype that includes the new content generation features, as well as traditional features of these tools (e.g., different access patterns, operation types, request sizes).; Evaluation
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mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us
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footprint. Its holistic approach will help to secure a brighter, more sustainable future for humanity. Key Responsibilities: To perform pioneer research in exploring learning-based model compression and green
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for improvement. In concert with SUL LEG members, develop and market digital services to internal clients to create visual content, including video and images and provide best practice standards that foster
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development can alter tissue mechanical properties and allow cancer cells to withstand compressive forces within a tumour environment. This PhD project aims to map keratin network architecture in epithelial
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. To set up and analyze experiments and datasets under different conditions. To propose a methodology/framework in a software prototype to be developed in the project. To report research findings in the form
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architectures Analysis and preprocessing of different data types (texts, images, time series, graphs, etc.) Review latest literature and data Orchestration and documentation of deep learning experiments
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2026, however, an extension beyond this date will be considered if the expected external project funding allows nearer the time. The Centre for Electronic Imaging (CEI) is a research centre based within
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, however, an extension beyond this date will be considered if the expected external project funding allows nearer the time. The Centre for Electronic Imaging (CEI) is a research centre based within