80 computer-science-intern-"https:"-"https:"-"https:" positions at Manchester Metropolitan University
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understanding of and experience with programming using Python for machine learning, C# and C++ Essential skills and experience: A PhD in computer science, AI, software engineering or a similar technical field, or
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Requirements: A first-class or upper second-class (2:1) Bachelor’s degree or a Master’s degree (or equivalent), in Computer Science, Artificial Intelligence, Machine Learning, or a closely related discipline. A
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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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to the Mechanical Maintenance Manager. About the candidate We are looking for enthusiastic and proactive candidates with mechanical engineering experience, ideally gained within a busy, site-based environment
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networking, negotiating and interpersonal skills to build effective working relationships with internal and external stakeholders. Proven experience demonstrating excellent organisational and administrative
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international communities, including Black, Asian, and Minority Ethnic backgrounds, disabled people, and LGBTQ+ individuals. We support a range of flexible working arrangements, including hybrid and tailored
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-profile events and initiatives Build and maintain strong relationships with internal and external stakeholders Organise, prepare, and service meetings, ensuring seamless operations We are looking
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of ultrashort PFAS in the UK and North America Test the effectiveness of current remediation technologies Funding Both Home and International students can apply. Home tuition fees will be covered for the duration
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, collaborative and inclusive team. With our Library Transformation Programme underway, including a new library building, you'll have the opportunity to shape the future of our service. Get in touch If you are
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progress from fundamental surface science to the fabrication of intelligent, multiplexed sensor arrays, enabling fast and reliable cardiovascular health monitoring. This exciting 3-year PhD will be conducted