232 professor-computer-"https:"-"https:"-"https:"-"https:"-"https:"-"Dr" PhD positions in United Kingdom
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Project Overview This is an opportunity to conduct fully funded research under the ‘Sustainable Transitions – Leverhulme Doctoral Training Programme’ at the University of Essex. The impact of
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the ‘Sustainable Transitions – Leverhulme Doctoral Training Programme’ at the University of Essex. Only UK domiciled applicants who meet the following criteria may apply: Not already have a Master’s degree. And Be
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the ‘Sustainable Transitions – Leverhulme Doctoral Training Programme’ at the University of Essex. Only UK domiciled applicants who meet the following criteria may apply: Not already have a Master’s degree from the
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Project Overview This is an opportunity to conduct fully funded interdisciplinary research under the ‘Sustainable Transitions – Leverhulme Doctoral Training Programme’ at the University of Essex
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Thermodynamics • Ability to program in Matlab or Python The following skills are desirable but not essential: • Experience in numerical methods (e.g. finite elements) Application Procedure Informal enquiries
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undergraduate degree (or international equivalent) in Engineering, Industrial Engineering, Manufacturing Engineering, Systems Engineering, Operations Management, Computer Science, or a related field. A master's
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, the School has a vibrant research culture in which its established doctoral programme plays a vital role. It is home to the Centre for the Study of Democracy, the Centre for Social Justice Research, and the
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to obtaining their visa and to study on this programme. How To Apply Please read and complete this document as your Personal statement, and upload this with your application. Applications which do not include
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may require an ATAS (Academic Technology Approval Scheme ) clearance certificate prior to obtaining their visa and to study on this programme. How To Apply Please read and complete this document as
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
intelligence, particularly in computer vision and deep learning, offer an opportunity to automate and enhance damage assessment by learning patterns from multimodal data. This research seeks to bridge the gap