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Doctoral Training Partnership (DiMeN DTP). Our training partnership comprises the five large civic universities at Leeds, Liverpool, Newcastle, York and Sheffield. This partnership aims to create a
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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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Overview The University of Sheffield has a large and varied portfolio of buildings which require careful management in terms of the water services. The Water Compliance Team works together
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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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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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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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development and scientific application of SAMS, contributing to the School’s and the project’s international reputation in solar physics and data-driven modelling. Main duties and responsibilities Construct and
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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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full UK driving licence, be confident driving long distances, and comfortable with overnight stays (work-related expenses are covered, you do not require access to your own vehicle) Provide information