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programmed in advance. If anything changes, it may fail. This project explores how to build more adaptable systems using vision-language-action (VLA ) models. These combine computer vision (to see), natural language
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systems using vision-language-action (VLA ) models. These combine computer vision (to see), natural language understanding (to interpret instructions), and action generation (to respond), enabling robots
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Durndell Second Supervisor: Professor Karen Wilson Third Supervisor: Dr Thierry Tonon Fourth Supervisor: Dr Leonardo Gomez Applications are invited for three 3.5 year PhD studentships with the Marine
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of Text Analytics and head of the GATE team part of the NLP group at The University of Sheffield. She is a world-leading researcher in Natural Language Processing. She has been a leading developer of the
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synergistically, similar to how systems work in nature. Experimental work will include the following indicative activities: Designing and developing CAD models of test coupons and other structures Fabrication
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background in Natural Language Processing (NLP)—including model development, fine-tuning, or evaluation—will be given special consideration. Preference may also be given to candidates who have: Demonstrated
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supporting flood mitigation interventions while advancing nature-based climate adaptation. Based in the Department of Geography and Environment , you’ll work alongside fellow PhD researchers within the FLOOD
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to maximise early outbreak detection. Active intervention: developing decision-making algorithms that recommend effective public-health interventions. Reinforcement learning (RL) provides a natural framework
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DoS: Dr Michelle Harris 2nd Supervisor: Dr Andy Parsons 3rd Supervisor: Dr Katie Jones 4th Supervisor: Dr Giuliano Laudone Applications are invited for a 3.5 years PhD studentship, starting 01
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(computer vision technologies). The interdisciplinary nature of this PhD will require the integration of environmental science, engineering, and community science methodologies. Supervisors: Primary