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to submitting an online application, you will need to contact the project supervisor to discuss. Online applications click the 'Apply' button. Please select Computer Science on the Programme Choice page. You will
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, which is currently supported by prestigious and large initiatives including QuSIT and a newly awarded Royal Academy of Engineering (RAEng) Research Chair on distributed radar systems. Finally, it will
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to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
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to commercialise the outputs of the project. Project specific entry requirements: Minimum 2.1 (or equivalent) degree in Zoology/Biology, Engineering or Computer Science/Data Science. Department: Ecology and
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of architecture standards and inform training and development of the systems modellers of the future. Programme and Location: The Engineering Doctorate Researcher will follow the EngD in Model-Based Systems
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marine ecosystem management in the changing climate. Entry requirements: Applicants will normally need to hold, or expect to gain, at least a 2:1 degree (or equivalent) in Computer Science, Engineering, or
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programming skills in Python/MATLAB, and an interest in digital twin technologies, cybersecurity and machine learning. Entry Requirements Acceptable first degree: Computer Science or related disciplines
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of Physics & Astronomy and Computer Science, joining an interdisciplinary team bridging spintronics, photonics, and materials science. During your PhD you will gain hands-on experience in: ultrafast laser
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Number of Positions: 1 Eligibility: UK Only Funding: School of Computer Science Scholarship, in support of the EPSRC Grant: Mixed precision in Krylov Methods, providing the award of full academic
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and optimization of machine learning methods. Candidate’s profile An ideal candidate would typically have: a strong degree or higher qualification in a relevant field (e.g. computer science, mathematics