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mechanical accuracy for small organic molecule energetics, but are too slow for routine use in medicinal chemistry. This collaborative, industry-funded, computational project will i) use state-of-the-art
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motivated PhD candidate with interests and skills in computational modelling and simulations, fluid dynamics, mechanical engineering, physics and applied mathematics. You should have experience in one or more
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area of Mechanics and Materials is interpreted widely, encompassing experimental, theoretical and computational methods. However, it is expected that the PhD will be supervised by a member of Academic
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Fully funded 4-year PhD studentship in Computational Chemistry Supervisor: Dr Zsuzsanna Koczor-Benda, UKRI Future Leaders Fellow (FLF) We are looking for a highly motivated and talented PhD
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shaping microstructural response during aging; iv) how the resultant microstructural features correlate with mechanical properties and corrosion resistance. Correlative accelerated laboratory testing and
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ready for further downstream magnet recovery processes. Who we are looking for A first or upper-second-class degree in an appropriate discipline such as, robotics, mechatronics, computer
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computer science, mechanical engineering, or aerospace engineering. You should have programming experience applied to physics/engineering problems and/or experience with machine learning and ML. The University
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to improve mechanical performance in composite structures under extreme loads. Emphasis will be placed on the design of hybrid configurations capable of promoting controlled and progressive failure modes
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–skin contact mechanisms with integrated flexible sensors. It will advance fundamental understanding at the fibre, yarn, and fabric levels and position us as leaders in smart textiles and wearable health
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computer science, mechanical engineering, or aerospace engineering. You should have programming experience applied to physics/engineering problems and/or experience with machine learning and ML. The University