159 computer-programmer-"https:"-"Inserm"-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Nottingham
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overall theme of this PhD programme is investigating how population-level public health policies in the UK may contribute to declines in dementia incidence. This PhD studentship is embedded within an NIHR
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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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INTERNAL VACANCY This vacancy is open to employees of the University of Nottingham only. The University Of Nottingham Sport is currently undergoing an ambitious change and investment programme to
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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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-disciplinary team, as well using your own initiative. You will support the CDT Manager and contribute to the general administration of the CDT programme assisting with the timely delivery of tasks and outputs
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. The main purpose of this role is to provide administrative support for research projects at CEBD. This will include supporting the RAPID Eczema Trials programme; a National Institute for Health and Care
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Residential Experience Manager. The successful candidate will be required lead on the delivery of the ResX Living and Learning programme as part of the wider ResX team. This is a wide-ranging role and the
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strategy through evidence-based engagement and collaboration Work closely with senior leaders and external partners on a high-profile programme Contribute to a vision that places students, staff, inclusivity
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one of the world’s leading centres for additive manufacturing research and development, invites applications for a fully funded PhD programme. Metal additive manufacturing is transforming how complex
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The rapid growth of deep learning has come at an extraordinary environmental and computational cost, yet the standard training paradigm remains remarkably unchanged. Every sample is passed through