69 postdoc-parallel-computing positions at Manchester Metropolitan University in United Kingdom
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sporting partners in our city. Our performance programme supports and nurtures emerging talent. We support over 70 teams across more than 50 sports at our world-class facilities. The performance programme
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programme Create engaging content that communicates the impact of giving Support events and initiatives that celebrate and recognise our supporters Work closely with the philanthropy team to grow donor
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demonstrate statutory compliance. A key aspect of the role is to shape and optimise the use of our Estates CAFM (Computer-Aided Facilities Management) system, creating a reliable “single source of truth
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sporting partners in our city. Our performance programme supports and nurtures emerging talent. We support over 70 teams across more than 50 sports at our world-class facilities. The performance programme
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in our city. Our performance programme supports and nurtures emerging talent. We support over 70 teams across more than 50 sports at our world-class facilities. The performance programme looks
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programme and align with the School's strategic research themes across architecture, landscape, and the built environment. You will also have the opportunity to join one of the Faculty's research groups
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recognition as a performance sport institute, working with elite sporting partners in our city. Our performance programme supports and nurtures emerging talent. We support over 70 teams across more than 50
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vibrant and rapidly expanding technology sector. The University was recently awarded TEF Gold and was rated Outstanding by OFSTED. The Department of Computing and Mathematics is a successful academic
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Are you an experienced project or programme professional looking for an exciting opportunity in a growing and exciting team? Do you have experience in HE or a similar environment? Manchester
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to https://sparkmedia.tv/ Qualifications we require: Hold, or be about to obtain, a Master's degree in Computing, Computer Vision, Data Science or a related field. A PhD in Computer Vision or similar