250 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "UNIV" positions at University of Nottingham
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the research environment for PGRs. PGRs benefit from training through the Researcher Academy’s Training Programme, those based within the Faculty of Engineering have access to bespoke courses developed
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Hubs and will work closely with the AP2 academic attachment leads and teaching leads in each LEP. You will also be the SAST lead and academic co-lead for the UK Foundation Programme for our students
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: Interest in 3D printing, programming skills (e.g. Matlab), analytical chemistry, biochemistry/protein expression. This call is open to UK-Home students and to International students. Project start date and
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programming and data analysis (e.g. Python, Julia, MATLAB, C/C++, or similar) • Ability to work independently and as part of a collaborative research team Desirable skills / experience
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, computational fluid dynamics of the nozzles, additive manufacturing robot programming through slicer and characterisation of the deposits through EBSD, TKD and TEM. The Centre of Excellence in Coatings and
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, with significant proven experience of end-to-end campaign management. Working in our Student Recruitment Marketing Team, you will be responsible for working collaboratively to plan, design, implement and
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Team, a highly skilled and dynamic group supporting multiple buildings performing multi-disciplinary teaching and research. You will provide senior technical support to the School of Medicine, plan and
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of Nottingham, but should expect to engage fully with the 3-month full-time training programme in the Fusion Engineering CDT at the start of the course (October to December inclusive). CDT training will be
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have a positive attitude. Working with academics, researchers and PhD students in managing and conducting research activities across the programme, you should have experience of working collaboratively
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this information-gathering process. The successful applicant will have strong expertise in programming, and in particular developing AI-based computer vision methods. Ideally, they will have experience