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start dates also possible) Email: david.duncan@nottingham.ac.uk About the project We are recruiting applicants for a fully funded PhD studentship in the School of Chemistry at the University of Nottingham
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applicant must have (or be close to obtaining) a relevant PhD in Fluid Mechanics from an Engineering, Mathematics or Physics Department, a strong background in theoretical and computational fluid mechanics
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epidemiology and statistical and mathematical modelling For appointment at grade 7: A4 Normally Scottish Credit and Qualification Framework level 12 (PhD) plus track record of emerging independence within a
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ultrasonic sensors for real-time seal gap measurement. Combine experimental research and mathematical modelling to pioneer innovative sealing solutions. What We Offer Full 4-year Funding for UK applicants
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will be required to demonstrate their ability to identify fundamental flow features and model these using suitable CFD methods. Experience in Fortran/C/C++/Python/Matlab is an advantage but not essential
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, an important concept within physics, chemistry and biology, but one that lacks a full mathematical understanding. This project will tackle questions relating to universality within the KPZ class of models. Some
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-treatment facilities, and biorefineries. Feedstock choice, regional dynamics, and process side-streams all affect costs, energy use, and emissions. This PhD project will develop advanced computational models
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PhD: Digital Optimisation of Rail Grinding EPSRC Centre for Doctoral Training in Machining, Assembly, and Digital Engineering for Manufacturing PhD Research Project Directly Funded UK Students Dr
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Job Purpose The candidate will contribute to the work of the consortium *Policy Modelling for Health (HealthMod”, 2024-2028) and associated projects, *working with Dr. Andreas Hoehn, Prof. Petra
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based modelling, the application of mathematical concepts from UQ/ML to practical problems, and an understanding of scripting/programming. Individuals with an applied mathematics background who have an