422 computer-programmer-"https:"-"UCL"-"https:"-"https:"-"https:"-"Inserm" PhD positions in United Kingdom
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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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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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. This project will rely heavily on computational analyses, so experience on bioinformatics/informatics is required. The student will receive extensive training in big-data analysis, genome-wide/species-wide
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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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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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collaborate in a multi-disciplinary environment. It aims to encourage an effective and vibrant research culture, founded upon the diversity of activities and knowledge. A tailored programme of seminars and
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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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PhD programmes and looking for hands-on research experience on high-impact questions in energy and environmental economics. Key Responsibilities for the role include: Data collection, cleaning, and
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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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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