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element models. ● Work collaboratively with other colleagues for the validation of the finite element models of rib samples based on in situ mechanical testing data. ● Lead the model uncertainty
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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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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
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Autonomous Industrial Perception, Monitoring, and Optimisation Using an Agentic Framework with Large Language Models School of Computer Science PhD Research Project Directly Funded Students
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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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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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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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data gaps by combining process simulation (e.g., Aspen software) with machine learning techniques. By developing accurate, large-scale life cycle inventory data using enhanced digital tools like deep