23 undergraduate-scholarships scholarships at University of Nottingham in United Kingdom
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relevant undergraduate degree (e.g., Exercise Science, Physiology, Biology, Biomedical Sciences (non-exhaustive list)), OR a minimum of a 2.2 undergraduate degree and a relevant Master’s degree. The ideal
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PhD Studentship: Centre for Doctoral Training in Composite Materials, Sustainability and Manufacture
relevant engineering or physical science discipline. Applicants without a masters qualification may be considered on an exceptional basis, providing they hold a first-class undergraduate degree
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PhD Studentship: Centre for Doctoral Training in Composite Materials, Sustainability and Manufacture
relevant engineering or physical science discipline. Applicants without a masters qualification may be considered on an exceptional basis, providing they hold a first-class undergraduate degree
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2.1 in a relevant undergraduate degree (e.g., Exercise Science, Physiology, Biology, Biomedical Sciences (non-exhaustive list)), OR a minimum of a 2.2 undergraduate degree and a relevant Master’s degree
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for a series of multidisciplinary PhD scholarships hosted by the University of Nottingham and Nottingham Trent University In partnership with leading industrial stakeholders we are launching a new
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degree classification of Merit and/or an undergraduate degree of UK 2:1 – however a Distinction and/or 1st class would be highly desirable. We welcome candidates from a broad range of disciplines
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information and Application Applicants should have a minimum of a 2.1 undergraduate degree or a minimum of a 2.2 degree and a Master’s degree in Agriculture, Animal Science, Veterinary Science, Nutrition
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Matlab Applicants with a good 2.1 degree are also encouraged to apply if they can demonstrate excellent numerical skills through previous research or an undergraduate project. Application Procedure
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should have a minimum of a 2.1 undergraduate biological science degree or a minimum of a 2.2 degree and a Master’s degree in a related subject. Informal enquiries may be addressed to the principal
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quantitative methods, data skills and machine learning methods for effectively handling micro-level panel data, providing valuable skills for future careers. A Masters degree is not a prerequisite. Undergraduate