47 quantum-physics-"https:"-"https:"-"https:" PhD positions at University of Nottingham
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. Essential skills: Candidates must possess or expect to obtain a 1st or 2:1 degree in either engineering, physics, chemistry, materials science, or a related discipline. Desirable but not essential skills
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) citizens. Application Process Informal enquiries may be addressed to: Dr Stephen Ambrose – Stephen.Ambrose3@nottingham.ac.uk Interested candidates should submit the following documents: • Curriculum
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for feedstock characterization. 1st or a 2:1 in a Chemical Engineering, Mechanical Engineering, Materials Engineering, Chemistry, Physics If you are interested in this project, please send your CV and cover
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competitive process. (this will cover home tuition fees and UKRI stipend). The University actively supports equality, diversity and inclusion and encourages applications from all sections of society The Faculty
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suitable candidate is found, funding is then sought from the University of Nottingham as part of a competitive process (this will cover home tuition fees and UKRI stipend) The University actively supports
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travel. Requirements: The candidate should have a 1st or high 2:1 degree in electrical/mechanical engineering, physics, mathematics, or related scientific disciplines. Skills in numerical tools and
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support After a suitable candidate is found, funding is then sought from the University of Nottingham as part of a competitive process (this will cover home tuition fees and UKRI stipend) Postgraduate
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validate new capabilities within XCALibre.jl, Nottingham’s GPU-accelerated, AI-ready CFD framework, turning complex coupled physics into practical tools that engineers can use in real manufacturing workflows
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on their previous academic background and project direction. Funding support Subject to a competitive selection process, the successful candidate will be supported for funding by the University of Nottingham covering
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to the interests of one of the School’s research groups: Cyber-physical Health and Assistive Robotics Technologies Computational Optimisation and Learning Lab Computer Vision Lab Cyber Security Functional