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Field
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-class or 2:1 (or international equivalent) Master’s degree in Computer Science, Robotics, Mechatronics or Electronic/Electrical Engineering, or a related field. • Knowledge of machine learning/deep
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long-list candidates. Deadline: 8 January 2026 Stage 2: Supervisors will email further instructions and an application link to long-listed candidates, inviting them to make a formal application to the
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: Supervisors will email further instructions and an application link to long-listed candidates, inviting them to make a formal application to the PhD Studentship. Contact: For questions about the project: Dr
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for computer, lab, and fieldwork costs necessary for you to conduct your research. There is also a conference budget of £2,000 and individual Training Budget of £1,000 for specialist training Project Aims and
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year for 3.5 years. Lead Supervisor’s full name & email address Dr Thomas Raistrick: t.j.raistrick@leeds.ac.uk Co-Supervisor’s full name and email address Dr Mamatha Nagaraj: M.Nagaraj@leeds.ac.uk
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for the 'Ashby Scholarship'. Please note that there is a £20 application fee. Once you have completed your application, please send an email to div-c@eng.cam.ac.uk with the subject title 'Ashby Scholarship
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electronics. Following rigorous laboratory validation, field testing will occur in Plymouth Sound to capture real-time ionic fluctuations over multiple tidal cycles. Training Comprehensive training will cover
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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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alternative, offering electronically controlled release at designated GI sites. While ingestible devices demonstrate the promise of electronic capsules, they also highlight current limitations. Using relatively
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for applying to this PhD Studentship to: Supervisor Review Form . Our supervisors will perform a comprehensive review to long-list candidates. Deadline: 8 January 2026 Stage 2: Supervisors will email further