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researcher will become part of the Corrosion and Mineral Scaling Research Team within the Institute of Functional Surfaces (University of Leeds), a vibrant and diverse research group with expertise in
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overall porosity increase and volume expansion have only been observed in unconfined cases, where reaction rates are appreciable. This PhD project will work alongside leading teams within the University
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considered. Subject Area Applied Chemistry, Inorganic Chemistry, Synthetic Chemistry, Fluid Mechanics, Manufacturing Engineering, Mechanical Engineering, Nuclear Physics
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. This network involves 19 organisations across 12 countries and will train 14 Doctoral Researchers (DRs). The interdisciplinary network combines physics, chemistry, biology and engineering to train a new
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, Fluid Mechanics, Mechanical Engineering, Applied Mathematics, Engineering Mathematics, Mathematical Modelling, Nuclear Physics
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the Schools of Chemistry and Chemical Engineering at the University of Leeds, will investigate flow chemistry and machine learning approaches for the development of an automated reaction screening platform
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Degree in an appropriate field will also be considered. Subject Area Applied Chemistry, Physical Chemistry, Fluid Mechanics, Mechanical Engineering, Chemical Engineering
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, Machine Learning, Software Engineering, Chemical Engineering, Civil Engineering, Mechanical Engineering, Robotics, Geotechnology, Operational Research, Computational Physics
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Bachelor’s Degree in an appropriate field will also be considered. Subject Area Analytical Chemistry, Physical Chemistry, Machine Learning, Mechanical Engineering, Chemical Engineering, Materials Science
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. For this PhD, you will work alongside some of the UK’s leading nuclear researchers at Leeds, as part of the Nuclear Engineering Group, to develop process intensification equipment for ion exchange, based