632 phd-studenship-in-computer-vision-and-machine-learning PhD positions in United Kingdom
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decisions surrounding future applications of NLP. Candidate profile An ideal candidate would typically be: A graduate with a strong degree in a relevant field (computer science, linguistics, design, HCI, law
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the Master's programme and PhD programme. Step 2: Download the Kent/SEDarc application and complete the form with the support of your potential primary supervisor. You will need to ask the supervisor
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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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place on our PhD programme please see the apply button above. Funding Notes Studentships cover tuition fees for three years, the pending submission status fee and a stipend of approximately £22k/annum
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This 3.5 year PhD project is fully funded for UK students. Your tuition fees will be paid, and you will receive a tax free stipend set at the UKRI rate (£20,780 for 2025/26). We expect
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Type of award Scholarship Managing department Faculty of Science and Engineering Value The four-year funded A*STAR PhD programme at Manchester enables postgraduate researchers in science and
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motivated PhD student to join our interdisciplinary team to help address critical challenges in high-speed electrical machine design for electrified transportation and power generation. Together, we will make
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Two fully-funded 3-year PhD studentships are available in Neuromorphic and Bio-inspired computing at the interface between control engineering, electrical engineering, computational neuroscience
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The probabilistic method is a powerful tool which has been especially influential in the fields of combinatorics and computer science. In the context of combinatorics, this method was pioneered by
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code: 8060F · select ‘PhD Electrical and Electronic Engineering (full time) as the programme of study You will then need to provide the following information in the ‘Further Details’ section