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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial
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, including the mobile mammography van, according to department procedure manual utilizing correct anatomic positioning, selects correct technical factors that consistently produce high quality mammogram images
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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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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
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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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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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include experience using X-ray computed tomography and laboratory experience including chemical, x-ray, cryogen, compressed gasses safety and training records. Knowledge of image processing techniques and
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of equipment and supplies, safe piloting of small boats in rough seas, safe conduct of diving activities using compressed air and life support equipment, and collection of data in the underwater environment
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, pressurized gas systems, chillers, vacuum, and deposition tools). You will have experience in the following areas: electrical systems, plumbing systems, compressed gases, materials handling, assembly