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(or international equivalent) in: Engineering, Mathematics, Computer Science, Physics, or a related discipline. We would also like to see enthusiasm for collaboration and software engineering, experience of C
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(or the international equivalents) in Biosciences, Engineering, Environmental Science, Physics, or Mathematics and Statistics, we would like to hear from you. If your first language is not English, or you require Tier 4
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capabilities to match the real outcome as closely as possible. Entry Requirements Acceptable first degree - Computer Science, Engineering, Physics or Mathematics. The standard minimum entry requirement is 2:1
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relevant to the proposed PhD project (inc. computing, mathematics, engineering etc.). Enthusiasm for research, the ability to think and work independently, excellent analytical skills and strong verbal and
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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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undergraduate degree (or the international equivalents) in engineering, computer science or mathematics and statistics, we would like to hear from you. If your first language is not English, or you require a
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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
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Mathematics or Statistics or Computer Science or close to completion, having submitted the thesis at the point of starting the position (Research Assistant)
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to how well they meet the following criteria: A first-class honours degree (or equivalent) in Engineering, Materials Science, Mathematics or Physics Excellent written and spoken communication skills in
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2:1 honours degree (or international equivalent) in mathematics, physics, engineering, computer science or other related discipline. To apply, please contact Dr Peter Brearley (peter.brearley