651 computer-security "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "St" scholarships in United Kingdom
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, etc.), or the equivalent qualifications gained outside the UK, in a relevant area of Physical Science, Materials Science, or Engineering. You should be able to demonstrate some computational
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Fuel cells and water electrolysers are key technologies for the transition to a low-carbon energy system, enabling the efficient conversion between chemical and electrical energy and supporting the large-scale deployment of hydrogen. Central to the performance of these systems is the...
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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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-skills. How To Apply You must apply through the University's Apply to Newcastle Portal . Once registered, select ‘Create a Postgraduate Application '. Use ‘Course Search’ to identify your programme of
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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
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difficulties that impact on their ability to study and be successful on their degree programme. You will promote and maintain an inclusive, supportive and accessible academic community, primarily for students in
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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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pressures from climate change, urbanisation and ageing infrastructure. Although high-fidelity numerical models can simulate hydrodynamic and pollutant transport processes, their computational cost limits
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opportunity to deliver research with real-world impact, helping to secure critical materials for the UK while accelerating the transition to a low-carbon, circular economy. For any informal queries, please
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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