70 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "UCL" PhD positions at University of Nottingham in United Kingdom
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propulsion. Who we are looking for We are looking for enthusiastic, self-motivated applicants with first-class degree in Electrical Engineering, Control Engineering or Computer Science with good electrical
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repair and maintenance of gas turbine engines. Applicants are invited to undertake a fully funded three-year PhD programme in partnership with Rolls-Royce to address key challenges in soft robotics
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programme combining research-led innovation with real-world industry application. Keyword Search: Consumer sensory science, immersive technology, virtual reality, emotional profiling Award Start Date: 01/10
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This studentship is open to UK students only The School of Chemistry at the University of Nottingham welcomes PhD applications in Theoretical and Computational Chemistry. The studentship is fully
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. Training and supervision are delivered by a diverse team of researchers from across Arts , Engineering , Medicine and Health Sciences , Science and Social Sciences . We encourage applications from
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programme combining research-led innovation with real-world industry application. Keyword Search: Consumer sensory science, immersive technology, virtual reality, emotional profiling Award Start Date: 01/10
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engineering, physics, or a closely related discipline. Candidates with a strong 2:1 degree may also be considered, as well as applicants with equivalent overseas qualifications. Applications should be submitted
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. What you should have: A 1st degree in physics or engineering. An interest in optics, some ability in computer programming A desire to learn new skills in complementary disciplines. You will work jointly
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Supervisors: Dr Negar Gilani and Professor Richard Hague The Centre for Additive Manufacturing (CfAM) Research Group within the Faculty of Engineering at the University of Nottingham, recognised as
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Data is more valuable than oil, so it has been said. Quantum computing offers new unusual datasets thereby presenting new opportunities for AI approaches. Quantum computing is raising the prospect