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. oral/skin health products. The project will focus upon extending UoN patented polymer technologies, that deliver their anti-attachment performance without the use of actives that kill. Hence, they will
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critical, to ensure expected engine performance is achieved. To predict this complex flow and heat transfer, next-generation Computational Fluid Dynamics (CFD) solvers using Large-Eddy Simulation (LES) and
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. oral/skin health products. The project will focus upon extending UoN patented polymer technologies, that deliver their anti-attachment performance without the use of actives that kill. Hence, they will
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Neural mechanisms underlying accent processing in naturalistic conversations: Insights from brain oscillations and functional neuroimaging Prof. Guillaume Thierry Applications are invited for a
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campus in Espoo, Greater Helsinki, Finland. Diversity is part of who we are, and we actively work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified
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. Your work will feed directly into the development of predictive models that link microstructure to performance, guiding the design of alloys that are stronger, more reliable, and more efficient. By doing
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students the studentship will cover Home tuition fees plus an annual tax-free stipend of at least £20,780 for 3 years full-time, or pro rata for part-time study. The student would be based in in the Faculty
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Full time for years 1 and 2 then 14.8 hours in year 3 ABOUT THE ROLE Working as part of a multi-disciplinary team for the European Commission-funded project ‘ECLIPSE’, you will support the Principal
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to work under the supervision of Dr David Duncan. The project will be strongly based at Diamond Light Source (Oxfordshire), the UK’s national synchrotron facility, where the student will be based
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these and/or other potential mechanisms to establish whether individual bacteria can initiate specific cancer-causing mechanisms. The project is linked to work carried out as part of the Pan Prostate Cancer