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: The studentships will be awarded based on outstanding academic achievement and the potential to produce cutting-edge research. Prospective applicants must: Hold a good honours degree in Physics, Maths, Engineering
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(including Computer Science, Physics, Maths, Engineering) Knowledge of modern machine learning techniques and experience with coding in Python is beneficial (but not a strong requirement) Applicants whose
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with an interest in developing skills in programming, sophisticated analysis and AI. You should have a degree in Psychology, Neuroscience, Computer Science, Maths, Physics or a related area. You should
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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://www.nottingham.ac.uk/pgstudy
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Supervisors: Dr Thomas Hudson, Maths, Dr Thomasina Ball, Maths Project Partner: Syngenta Many industrial companies dry their chemical products into powders to aid wide transportation and
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/pgstudy/funding/postgraduate-funding.aspx Entry Requirements: Starting October 2025, we require an enthusiastic graduate with a 1st class degree in engineering, maths or a relevant discipline, preferably at
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class degree in engineering, maths or a relevant discipline, preferably at Masters level (in exceptional circumstances a 2:1 degree can be considered). For any enquiries about the project and the funding
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) degree in computer science, linguistics, statistics, engineering, or a related field. Strong maths and programming skills. Excellent oral and written communication skills. Strong problem-solving abilities
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://www.nottingham.ac.uk/pgstudy/funding/postgraduate-funding.aspx Entry Requirements: We require an enthusiastic graduate with a 1st class degree in engineering, computer science, maths, or a relevant discipline, at
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Supervisors: Dr Lukasz Figiel, Warwick Manufacturing Group, Dr Ferran Brosa Planella, Maths Project Partner: Jaguar Land Rover Efficient batteries for automotive industry are critical for achieving