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, AI-based tools are being increasingly utilised to analyse "big data" from digital whole slide images (WSIs), enabling the identification of novel digital biomarkers and informing precision treatment
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development in modern cements formulated with SCMs is therefore urgently required, to enable quality control and make them practical for use in large-scale construction. This PhD uses advanced spectroscopic
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antimicrobials is of great interest currently. Among the bacteriophage a class of large, widespread, antibacterial viruses known as Jumbophage are receiving much attention due to the novel mechanisms they employ
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(work-related expenses are covered, you do not require access to your own vehicle) Provide information, advice, and guidance to prospective students acting as a positive role model. Work closely with
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the right tools including AWS and our on premise infrastructure Work on designing resilient and reliable services used by large numbers of users Use a wide-range of technologies to develop and host websites
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firefighting search and rescue teams. The project scope is on real-time solutions for a small, medium and large number of entities with a swarm of UAVs. Computer Vision and Machine Learning approaches will be
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to a range of subject areas, including health inequalities, policy evaluation, and more, using large datasets. This will result in a series of both methodological and substantive journal articles and
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technologies, including: Smart Shop-Floor Connectivity 5G Factory of the Future Big Data Artificial Intelligence (AI) Automation and Robotics for advanced manufacturing systems. Candidates should have strong
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detectors at the CERN Large Hadron Collider. You will work alongside and receive training from researchers and research software engineers within STFC, RSE Sheffield and with international partners (e.g. Oak
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foundation models, multi-modal learning algorithms, generative models, and large language models [1], have made seen remarkable advancements in the field of healthcare. It can lead to more accurate diagnosis