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supportive lab culture with flexible working practices Applications welcome from candidates from under-represented backgrounds Adjustments available to support candidates with physical disabilities
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gross salary) for 3 years An additional £2,000 per annum for consumables and travel Requirements The candidate should have a 1st or high 2:1 degree in electrical/mechanical engineering, physics
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supercritical water systems to generate samples that will help optimise a process that will then be scaled into pilot and large scale pilot systems with partners in the consortium. Aim This project will focus
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influences process reliability, efficiency of usage of hospital resources and risk to staff and patient safety. Hence, having a model that integrates these various aspects of procedure is essential to result
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://nottingham.ac.uk/ComputerScience/Studywithus/Postgraduateresearch/NottinghamDTCinAI.aspx Entry Requirements: 2:1 Bachelor or Masters degree or international equivalent in a related discipline Application Process
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, combustion, and process optimisation. The project is focussed on the development of novel interface capturing Computational Fluid Dynamics methods for simulating boiling in Nuclear Thermal Hydraulics
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duration: October 2025, for 3.5 years. Candidates must possess or expect to obtain, a 2:1 or first-class degree in Engineering, Physics, Chemistry, Materials Science, or related physical sciences discipline
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of deep learning models, especially when new training experiences are corrupted. The framework will be validated in robotic control scenarios during EV battery assembly, under process variations such as
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national depending on suitability. Interested candidates in the areas of Engineering, Physics, Biology or Medicine please contact fernando.perez-cota@nottingham.ac.uk or richard.lea@nottingham.ac.uk by
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, the student will be able to utilise cutting edge equipment to study single atom catalysts anchored on defective graphene substrates. Catalysis is a key industrial process that underpins not only the supply