221 computer-"https:"-"https:"-"https:"-"https:"-"Dr" PhD positions in United Kingdom
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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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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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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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This PhD forms part of an ongoing collaboration between IBM and the Department of Engineering at the University of Cambridge, centred on the mathematical and computational modelling of Earth and
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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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clinically meaningful explanations. Finally, the project will develop new evaluation frameworks to assess reasoning quality, robustness, computational efficiency, and real-world clinical usefulness, supporting