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with a 1st class degree in engineering, maths or a relevant discipline, preferably at Masters level (in exceptional circumstances a 2:1 degree can be considered). To apply visit: http
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, Physical Sciences, Computer Science & Maths): These are fellowships for women scientist and engineers. The candidates must be from eligible low and middle-income countries (find the complete list here: https
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://www.nottingham.ac.uk/pgstudy/funding/postgraduate-funding.aspx Entry Requirements: Starting October 2026, we require an enthusiastic graduate with a 1st class degree in engineering, maths or a relevant discipline
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Applications are invited from PhD studentship candidates with good first degrees in computer science, physics, maths, biology, neuroscience, engineering or other relevant disciplines to join
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computational methodologies/AI that advance our ability to design reliable engineered biosystems (if the candidate has strong math/computer science background), or building new robotic measurement and control
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/maths/offen-christian ) For application details, see https://www.birmingham.ac.uk/study/postgraduate/research/how-to-apply References: C. Offen, “Machine learning of continuous and discrete variational
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Economics, Statistics, Maths, etc. Additionally, they must possess a Master’s-level qualification, or equivalent, with merit or above in a relevant subject area. For applicants currently studying a Master’s
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first degree: Any numerate degree (e.g. Maths, Physics, Chemistry, Engineering, Environmental/Earth Sciences). Start date: 1st October 2026 Funding ARIES studentships are subject to UKRI terms and
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overall, 6 in each category). Acceptable first degree: Computer Science/Physics/Maths or other numerate discipline. Mode of Study Full-time Start Date 1 October 2026 Funding Information ARIES studentships
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Language requirement (Faculty of Science equivalent: IELTS 6.5 overall, 6 in each category). Acceptable first degree: Physics Maths Meteorology Oceanography Geophysics or a similar quantitative science. Start date: 1st