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implemented to allow the prediction of these mesoscale properties. The AI model's predictions will serve two primary purposes: establishing further correlations with relevant bulk properties of actual materials
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Subject area: Arts and Humanities, Science, Social and Health Services Closing date of advert: 16th June 2024 Start date: October 2024 Name of primary supervisor/CDT lead: Emma Pullen Name(s) of
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Closing date of advert: 16th June 2024 Start date: October 2024 Name of primary supervisor/CDT lead: Dr Emma O'Donnell Name(s) of secondary supervisor(s): Dr Richard Ferguson, Dr Laura Barrett
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equivalent to UK honours (by UK ECCTIS) and achieved a grade equivalent to UK Upper Second Class honours, and a master's degree. Alternatively, applicants with a UK first class honours degree (or Non-UK
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your 4-year research scholarship. Eligibility requirements If you have received a First-class Honours degree, or a 2:1 Honours degree and a Masters, or a Distinction at Masters level with any
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Honours degree, or a 2:1 Honours degree and a Masters, or a Distinction at Masters level a degree (or the international equivalents) in economics, energy economics, environmental science or related fields
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) in Physics/Mathematics, or a closely-related area, or else a lower second class degree followed by a relevant Master's degree. This award is open to UK and International students. Deadline 23:45, 28th
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Exercise Health Sciences. Applicants must have, or expect to have, at least a 2:1 honours degree (or international equivalent) with a UK master's degree (with average programme mark of no less than 65
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equivalent) with a UK master's degree (with average programme mark of no less than 65%) or international equivalent. Funding Details Funding Minimum UK and International – Fully Funded Additional Funding
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have a 1st class or 2:1 Undergraduate degree or a Masters degree (or equivalent) in Materials Science, or within a related Science & Engineering discipline. A background in microstructural