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Applications are invited from PhD studentship candidates with good first degrees in computer science, physics, maths, biology, neuroscience, engineering or other relevant disciplines to join
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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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Fully Funded PhD Opportunity: AI for Early Detection of Mood Problems in University Students Applications are invited for a fully funded PhD (fees and stipend) to begin March 2026 at the University
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Environment and Climate Change Canada, the Canadian counterpart of the Met Office. The algorithms developed during the PhD will become part of SLEPc (the Scalable Library for Eigenvalue Problem Computations
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One fully funded, full-time PhD position to work with Alessandro Suglia in the Embodied, Situated, and Grounded Intelligence (ESGI) group at the School of Informatics, University of Edinburgh
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This is a fully funded, 3-year PhD studentship Fees and Bench fees: The studentship covers bench fees, stipend, and tuition fees. Visa and associated costs are not funded. Start Date: January 2026
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This PhD project focuses on advancing computer vision and edge-AI technology for real-time marine monitoring. In collaboration with CEFAS (the Centre for Environment, Fisheries, and Aquaculture
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The UCL EPSRC Landscape Award (UELA) is recruiting 50 fully funded, 4-year PhD studentships. You can apply for any of the projects offered through the UELA project catalogue (over 100 projects
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develop AI- and deep learning–based computer vision tools to automatically identify and quantify intertidal organisms. Beyond computer vision, it will leverage machine learning for large-scale, data-driven
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Mission-Inspired priorities of Engineering Net Zero and Artificial Intelligence. This vision also reflects RCA’s institutional research priorities: Climate Crisis and the Circular Economy, and Design & AI