775 postdoctoral-image-processing-in-computer-science PhD positions in United Kingdom
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death. The role of NLR genes in these processes has been thoroughly described for plants and animals, but how they contribute to the fungal immune system is unexplored. Fungal NLR genes also show hugely
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Institution: University of Roehampton (in partnership with LSE) Location: London (campus and partner-organisations) Funding: Full studentships (tuition + stipend) Overview The CRICA programme is a
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2 Fully Funded PhD Candidate positions in GENIUS MSCA Doctoral Network hosted at University of Derby
30 Oct 2025 Job Information Organisation/Company University of Derby Research Field Engineering » Civil engineering Engineering » Geological engineering Researcher Profile First Stage Researcher (R1
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The University of Exeter’s Department of Public Health and Sport Sciences invites applications for a PhD studentship, funded by the University of Exeter and Wageningen University, to start on 1
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decisions surrounding future applications of NLP. Candidate profile An ideal candidate would typically be: A graduate with a strong degree in a relevant field (computer science, linguistics, design, HCI, law
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confined battery geometries. Advanced modelling—including computational fluid dynamics (CFD) and transient thermal analysis—is required to accurately capture heat flux distributions, temperature uniformity
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Number of Positions: 1 Eligibility: UK Only Funding: School of Computer Science Scholarship, in support of the EPSRC Grant: Mixed precision in Krylov Methods, providing the award of full academic
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Engineering and Analytical Science Civil Engineering Computer Science Electrical and Electronic Engineering Management of Projects in Engineering Mechanical Engineering Academic requirements To be considered
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degree or a Master’s programme and/or have worked for some years; or are currently enrolled in a PhD programme overseas Upon successful completion of the PhD programme, the scholar will be considered
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combining high-fidelity computational modelling with artificial intelligence to overcome key barriers in performance. The investigation will focus on optimising core gas exchange and combustion processes