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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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This 3.5-year PhD studentship is open to Home (UK) applicants. The successful candidate will receive an annual tax-free stipend set at the UKRI rate (£21,805 for 2026/27; subject to annual uplift), and tuition fees will be paid. We expect the stipend to increase each year. EU students with...
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This 3.5-year PhD project is fully funded by industry, and home students are eligible to apply. The successful candidate will receive an annual tax-free stipend set at the UKRI rate (£21,805 for 2026/27) and tuition fees will be paid. We expect the stipend to increase each year. The start date...
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The PhD (Finance) program at Durham University provides rigorous research training that prepares students to become leading experts in their chosen field. Faculty members in the Finance Department
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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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’ 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
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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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computational lung modelling. Working with our proprietary respiratory system model, you will generate large-scale, high-quality virtual airflow and acoustic datasets. You will then develop and train state
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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