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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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Novel routes for in-situ measurements during the manufacture of thin flexible electronic films. School of Chemical, Materials and Biological Engineering PhD Research Project Self Funded Prof
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Unsteady Turbulent Flow in Turbomachinery School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof S He Application Deadline: Applications accepted all year round
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Phase Field Computational Methods for Fracture Problems in Engineering School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Dr J L Curiel Sosa Application Deadline
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researchers from the Universities of Sheffield, Exeter, Cambridge, and Warwick. The code will be developed to ensure world-class physics capabilities, maintaining the UK’s solar physics community
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EPSRC iCASE - Revitalizing Groundwater Risk Models: Integrating NSZD into CoronaScreen for Sustainable Solutions School of Mechanical, Aerospace and Civil Engineering PhD Research Project Directly
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technologies, Google Apps, etc.). Essential Application / interview Knowledge and experience of learning theories and the ways in which technology can enhance the quality of learning and teaching. Essential
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are looking for an ambitious candidate with a strong background in mathematical and statistical methods for both physics-based modelling and machine learning, and their application to engineering problems in
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, Galois, Defence Science and Technology (DST) and the Universities of Amsterdam, Augsburg, Melbourne and Oldenburg. The post will be based in Sheffield working at Sheffield’s School of Computer Science
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-West region. As a Technical Lead in Additive Manufacturing (AM), you will primarily provide leadership and mentorship to project engineers in the AM group to facilitate the delivery of research and