585 computer-programmer-"https:"-"U"-"UCL" "https:" "https:" "https:" "https:" "https:" "UNIV" PhD positions in United Kingdom
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Project Link: Liquid Crystal Materials for Augmented Reality and Virtual Reality technologies | Project Opportunities | PhD | University of Leeds Number of positions: 1 Eligibility: UK Only Funding: School of Physics & Astronomy Studentship, in collaboration with Merck, providing the award of...
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research plan to the faculty and complete a dissertation agreement within 12-18 months. This will be reviewed and adapted on an annual basis. You will work on your dissertation and towards its completion in
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receive an annual tax-free stipend set at the UKRI rate (£20,780 for 2025/26) and tuition fees will be paid. We expect the stipend to increase each year. Computational haemodynamic modelling provides a
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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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Application deadline: All year round How to apply: uom.link/pgr-apply This 3.5-year PhD project is fully funded, 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...
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that drives this we plan to identify therapeutic targets that could prevent the progression of MGUS to myeloma. Research Methodology This PhD project will investigate changes in the innate immune system in MGUS
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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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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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and postgraduate studies. Any scholarly publications. Project plan (1500 max excluding reference). The successful applicant will benefit from: A funded three-year PhD studentship, covering tuition and
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be compared and calibrated. In-silico technique based on Computational Fluid Dynamics (CFD) will also be developed to provide further information necessary for the development of new MRI image scanning