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The Centre for Doctoral Training in Machining, Assembly and Digital Engineering for Manufacturing (MADE4Manufacturing CDT) is a collaboration between the Faculty of Engineering, Advanced
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”. This exciting opportunity involves leading the development of advanced data-driven mathematical and computational models to suppress turbulence in pipe flows, contributing to pressing engineering efforts toward
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Science, Engineering, or related subject. A Master’s degree or equivalent experience in a subject related to robotics and AI technologies would be advantageous. You will need proven experience in software development
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the intersection of industry and academia? We are looking for one enthusiastic researcher with strong motivation and a track record of successful collaboration in sustainable/chemical engineering to join our team
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Advanced Control Methods for Flexible Structures School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Anton Selivanov Application Deadline: Applications accepted all
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Investigating cyber-physical power system resilience and operation School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Xin Zhang Application Deadline: Applications
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Machine tool dynamics-based digital twins for real-time monitoring of cutting tool conditions in smart manufacturing School of Electrical and Electronic Engineering PhD Research Project Self Funded
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designed to advance sensor technologies in the field of dentistry. Electrospinning, a versatile technique for creating ultrafine fibres, offers a unique platform for engineering advanced materials with
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The retention of oil/organic wastes in low carbon cementitious wasteforms for radioactive waste disposal School of Chemical, Materials and Biological Engineering PhD Research Project Directly Funded
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Overview We have an exciting opportunity available for an experienced MRI physicist / engineer to join the School of Medicine and Population Health at the University of Sheffield. The successful