76 parallel-computing-numerical-methods positions at Manchester Metropolitan University in United Kingdom
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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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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 looks
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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 looks
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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 looks
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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 looks
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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 sports at our world-class facilities
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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
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. Familiarity with neurophysiological research methods (e.g. EEG and/or EMG), including participant setup, data acquisition, and preliminary signal quality checks. Experience with data management and research
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town-based football clubs as place-based communities in contemporary northern England, using a qualitative framework of biographical interviews and fieldwork methods. The project extends our work