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community, and support long-term societal impact. We welcome applicants from background, including but not limited to computer science, data science, engineering or mathematics, who are passionate about
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, including but not limited to computer science, data science, engineering or mathematics, who are passionate about machine learning and AI research. Strong analytical thinking, problem-solving skills, and the
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the programme code: 8030F · select ‘PhD Chemical Engineering (full time) as the programme of study You will then need to provide the following information in the ‘Further Details’ section: · a
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infrastructure. Validation of the technology will involve liaison with leading conservation organisations, including the Mersey Gateway Environmental Trust. Project aims and objectives The aim of project
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) clearance certificate prior to obtaining their visa and to study on this programme. How to apply For information on how to apply, please click on the ‘Apply’ button above.
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, GNSS positioning is highly susceptible to errors from atmospheric distortions, multipath effects, and receiver noise. Recent advances in deep learning have shown that data-driven pseudorange correction
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-generation regenerative materials. This interdisciplinary project combines mechanical, materials, and biomedical engineering, offering training across fabrication, nanomechanical analysis, and computational
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PhD in Computer Science: Sustainable AI for Plant Species Recognition in Tropical Forests School of Computer Science PhD Research Project Directly Funded Students Worldwide Dr Jefersson Alex dos
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Technology Approval Scheme ) clearance certificate prior to obtaining their visa and to study on this programme. How to apply For information on how to apply, please click on the ‘Apply’ button above.
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cdtcivil-courseadmin@eng.cam.ac.uk . Applicants should have (or expect to obtain by the start date) a high 2.1 degree preferably at Masters level in Civil Engineering, skills in data analytics and