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scientific environment at the University of Sheffield. We take an innovative approach with an emphasis on interdisciplinary research in the synthesis and characterisation of photoactive complexes that will
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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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deterministic causality, even though it is seemingly autonomous like a robot, can acquire mechanically attained computational (Brain-like) functions, behave autonomously, and even realise cognitive behaviour is a
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of parallel computing (GPUs) to speed solution within the optimisation process. Funding Notes 1st or 2:1 degree in Engineering, Materials Science, Physics, Chemistry, Applied Mathematics, or other Relevant
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a 2:1 honours degree or an MSc with merit/distinction (or equivalent) in Chemistry, Physics or Materials Science. Experience in computational modelling (quantum chemistry or force fields) is essential
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programme. This is an exceptional opportunity to gain experience in medical device innovation, translational research, and clinical validation. The ideal candidate will have a background in biomedical or
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collaborative programme of research funded by the Aerospace Technology Institute (ATI) with several Industry partners, including Airbus, GKN and Renishaw. Critical for the implementation of additive manufacturing
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biomechanical computational model, and have some experience in scientific programming such as Python. You will join the group of Dr Xinshan Li, Professors Damien Lacroix and Enrico Dall’Ara, as part of
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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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Adopter programmes, where appropriate. We are looking for an enthusiastic, motivated graduate in (health) Data Science, Computer Science or related field who is interested in the deployment, user acceptance