71 postdoc-parallel-computing positions at Manchester Metropolitan University in United Kingdom
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school is home to our translational and computational neuroscience research group, who are using advanced neuroimaging and electrophysiological techniques combined with computational modelling to develop
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and IR programme that explores contemporary global politics through feminist, postcolonial, and decolonial lenses. We are particularly keen to hear from candidates with expertise in critical and post
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significant impact on student experience and the employment prospects of our graduates. You will help us to identify what works, keep abreast of related sector wide developments and contribute to our programme
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and Social Care. You will contribute to teaching across a number of modules, including the Mary Seacole programme, for which we are accredited by the NHS Leadership Academy. The department has a strong
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The School of Digital Arts is a purpose built, interdisciplinary school at one of the UK's leading universities. Offering industry and research informed courses and specialist spaces with the latest technologies, SODA is a £35M investment into the workspaces, networks, teaching, and research...
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channels and co-ordination of an international-specific communications plan. Manage a rolling programme of creative rich media content to support the international student recruitment journey. Develop and
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. This cross-disciplinary centre will bring together academic expertise, technical specialists, and advanced computing capabilities to enable research at scale – from the processing of large, complex data sets
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via our application portal. For informal enquiries, please contact Claire Parry (Programme Manager, Apprenticeships Unit) on c.parry@mmu.ac.uk Manchester Metropolitan University fosters an inclusive
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Business community. You will hold a PhD in International Business or a related discipline and demonstrate substantial experience in academic leadership (absolute minimum Programme Leadership with experience
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networks. A key part of this role is related to developing research independence; there are opportunities to receive training and development in key technical skills (e.g., experimental and computational