401 parallel-computing-numerical-methods uni jobs at University of Sheffield in United Kingdom
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critical discourse, Supervise observational or computational astrophysics undergraduate and Masters-level projects professionally and appropriately. Carry out course assessment. This will include marking
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Development and validation of control strategies for flexible and demand-driven anaerobic digestion School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof Mohamed Pourkashanian, Dr Kevin Hughes, Dr D Poggio Application Deadline: Applications accepted all...
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Hughes, Prof Lin Ma, Dr Janos Szuhanszki Application Deadline: Applications accepted all year round Details Computational Fluid Dynamics modelling is a powerful tool that, due to recent advances in
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Collaboration (UKCRC)/ Modernising Medical Careers (MMC) integrated academic training pathway. The post forms an integral part of the Neurology clinical academic training programme led by the Training Programme
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Ava Shahrokhi Application Deadline: Applications accepted all year round Details Computational Wind Engineering has been developing rapidly over the last couple of decades. Among the numerical
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diseases, combining biomechanical experiments, micro-Computed Tomography imaging, Digital Volume Correlation, and Nanoindentation. The position is funded as part of the project “ChildBone: A novel digital
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(PPPA) group at the University of Sheffield, in collaboration with other institutions and industrial partners, pursues a wide programme related to these muon applications. This PhD project is
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. Identify, create and provide a training and development programme tostaff on contracts and contract negotiation. Develop and implement an efficient contracting process, including an appropriate, transparent
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of solid-fuel particles and this increasingly relies on engineering computer modelling. This project aims to develop a deeper understanding into the mechanisms of pulverised solid fuel ignition, and to
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/interview) A degree (Bachelor’s, Master’s, or PhD or equivalent experience) in Software Engineering, Computer Networks, Embedded Systems, AI, Data Engineering, or a related subject (assessed at: application