603 quantum-computing "https:" "https:" "https:" "U.S" PhD positions in United Kingdom
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experimental and computational, to understand and predict microtexture evolution during processing. The balance between experimental and computational research will depend on the profile of the successful
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degree (or equivalent international qualification ) with a UK master's degree (with an average programme mark of no less than 65%) or international equivalent . Applicants must meet the minimum
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qualification ) with a UK master's degree (with an average programme mark of no less than 65%) or international equivalent . Applicants must meet the minimum English language requirements. Further details
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requirements At least a 2:1 honours degree (or equivalent international qualification ) with a UK master's degree (with an average programme mark of no less than 65%) or international equivalent . Applicants
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sub-skills. International applicants 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
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computing skills, including the knowledge of UNIX/Linux, Fortran, Python, or other high-level languages. The post is full time and fixed term until 31 December 2026. The closing date for applications is noon
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the KBS PhD programme the student will receive support and training in both qualitative and quantitative research methods as part of the PhD. Further information You can email Prof Dirk vom Lehn
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, characterization and the development of miniaturized devices. Experience with multivariate analysis, computational methods or statistical techniques is highly desirable. The PhD projects are highly interdisciplinary
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’ to identify your programme of study: Select 2026 as the Year of Entry for a Sept 2026 start Type of Study: Select ‘Postgraduate Research’ Mode of Study: ‘Full Time’ Year of Study: Select ‘2026’ Course Title
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, limited predictability and slow process optimisation. The PhD sits within an interdisciplinary research environment that combines laboratory experimentation with mechanistic and computational modelling