106 computer-science-intern "https:" "https:" "https:" "https:" "P" positions at Manchester Metropolitan University
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, including teaching and on programme assessment, of those they are assessing. ABOUT YOU You will have: • Excellent communication and organisational skills • Strong specialist knowledge in Creative Digital
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engineering skillset, alongside the opportunity to be involved in Power BI and to leverage its capabilities. You will have the opportunity to work with current database and platforms as well as contributing
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: Key skills: A good understanding of programming within the Unity games engine using C# and experience with VR application development. Essential skills and experience: A PhD in computer science
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multidisciplinary supervisory team spanning engineering, ecology, and environmental science, with access to state-of-the-art laboratories, field sensors, and data-analysis facilities. You will also join Manchester
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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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programme of activities in key feeder schools and colleges both online and in person. Deliver engaging presentations, workshops, and events tailored to a range of audiences including students, teachers
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universities — and in August 2026, we're launching something truly exciting. Our brand‑new School of Biological and Chemical Sciences will unite our existing strengths across biomedical science, human physiology
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to this role. Participation in internal technical events to widen your skills and knowledge are encouraged. How to apply Please include a Covering letter and CV, highlighting skills and experience you will bring
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Established in 2007, the Policy Evaluation and Research Unit (PERU) at Manchester Metropolitan University is a multi-disciplinary team of researchers working across all social science disciplines
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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