483 advance-structure-modeling-"University-of-Exeter" PhD positions in United Kingdom
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Field
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Modern numerical simulation of spray break-up for gas turbine atomisation applications relies heavily upon the use of primary atomisation models, which predict drop size and position based upon
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complex metal structures. This opportunity is centred around improving manufacturing productivity with advanced laser-matter interactions control and optimisation. The PhD will advance our comprehension
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) Understanding NSZD processes and their relative importance in LNAPL depletion. (2) Integrating NSZD processes into CoronaScreen for broader contaminant modeling. (3) Developing advanced transport models
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to join the fight against PFAS – the so-called "forever chemicals" threatening our water sources. Sponsored by Anglian Water , this hands-on experimental project will explore advanced adsorption treatments
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Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience Engineering Research Group) Aim: Develop a mathematical model for obsolescence modelling for railway signalling and telecoms
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energy data lifecycle spans pre-construction (e.g., meteorological mast data, LiDAR data, wind climate and energy yield modelling, environmental impact assessment data), operational phases (e.g., SCADA
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About the Project Main description: Fiber-polymer composites are innovative ad sustainable alternative in construction due to their lightweight, excellent fatigue and durability, which are widely
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evaluation, policy advocacy, or better understanding the contexts and causes of such abuse. The student will use advanced data science and applied statistics to enable combined analysis of different modes
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address Dr Chunwei Xia: c.xia@leeds.ac.uk Co-supervisor’s full name & email address Professor Zheng Wang: z.wang5@leeds.ac.uk Project summary Large Language Models (LLMs) have profoundly transformed the way
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the successful and vibrant UK catalysis and central facilities communities, whilst building skills in inorganic and physical chemistry, applied and sustainable catalysis and advanced X-ray characterisation