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, possibly by extending it to the relevant derived categories. The successful applicant will join the very active and supportive ANTLR group at UEA (currently comprising 7 faculty, 5 postdocs and 8 PhD
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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
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Thrive Global and two international partners in the United States and Sweden have been funded to deliver a new research programme, titled Collective Action for Race Equity in Health and Social Care (CARE
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by detecting and predicting threats such as pests, diseases, and environmental stress in line with the UK Plant Biosecurity Strategy. The project harnesses computer vision, deep learning, and large
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Thrive Global and two international partners in the United States and Sweden have been funded to deliver a new research programme, titled Collective Action for Race Equity in Health and Social Care (CARE
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biological materials. The development of novel computer-vision-based techniques for contactless detection, quantification, and prevention of sport injury. The development of robotic humanoid simulator and
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the Principal Investigator and University of Cambridge Postdoc Academy. Fixed-term: The funds for this post are available for 3 years in the first instance, based on an anticipated start date of 01 April 2026
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, visions and concerns in innovation. Entry requirements The standard minimum entry requirement is 2:1 in Geography, Sociology, Political Science, Anthropology, Design, Architecture, Engineering, Computer
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PhD Studentship: LLM-Based Agentic AI: Foundations, Systems & Applications – PhD (University Funded)
of next generation agentic AI systems. In this PhD programme, you will redefine how the world works, learns, and discovers, turning bold ideas into tools used by millions. You will then become one
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, the project accelerates trait data acquisition by applying computer vision to herbarium specimens and field photos, as well as large language models to extract complementary information from literature and