270 computer-programmer-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "P" positions at University of Nottingham
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programmes, teachers’ conferences and student ambassador schemes. You will frequently travel to schools and colleges across the UK, some of which are difficult to get to via public transport; therefore, you
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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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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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for Postgraduate Research (PGR) students and staff associated with these three CDT programmes. The successful candidate will support financial monitoring, data management, and project reporting, as well as assisting
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This Vacancy is open to employees of University of Nottingham only. Working to the Head of Customer Relationship Management (CRM), the postholder will play a key role in supporting the development, management, and optimisation of Microsoft Dynamics as our CRM system – the backbone of our student...
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commissioning and supporting a new cryogenic test facility and delivering pioneer research programmes. The University of Nottingham is at the forefront of innovative research in propulsion electrification
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supporting a new cryogenic test facility and delivering pioneering research programmes. The University of Nottingham is at the forefront of innovative research in propulsion electrification. Operating from a
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are invited for a fully-funded Industrial Doctoral Landscape Award, offered in partnership with Rolls-Royce, to tackle key challenges in the design of aeroengine oil systems using multiphase Computational Fluid
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Electronic Engineering, Control Engineering, Computer Science or a very closely related topic: Strong understanding of power electronics principles Excellent knowledge on data-driven machine learning algorithm
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. In the role you will drive income generation, enhance industry-academic engagement, and support the University's Research & Knowledge Exchange Strategic Delivery Plan. A key part of the role will