41 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" uni jobs at Manchester Metropolitan University
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and deliver high-quality learning experiences across Levels 3–7, engaging and inspiring students to reach their full potential. You will play an active role in enhancing the student experience
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Intelligence (GenAI) can support people with learning disabilities in their daily lives. This innovative project explores the potential of using GenAI to support the daily lives of people with learning
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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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About us The Centre for Learning Enhancement and Educational Development (LEED) leads Manchester Metropolitan's digitally enhanced education, academic development, and education innovation. Our
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The Centre for Learning Enhancement and Educational Development (LEED) leads Manchester Metropolitan's digitally enhanced education, academic development, and education innovation. Our work is
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and technical colleagues to ensure the data capability for CDDR is scalable, secure, and capable of supporting advanced analytics, machine learning, and large-scale data processing. Your expertise will
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have access to a car. Why Join Us? This is an exciting opportunity to make a real difference to prospective students during a busy and impactful period. You'll join a friendly, supportive team committed
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educational engagement environment. This role includes national and reginal travel and frequent evening work. Is it an advantage to be able to drive and have access to a car. Why Join Us? This is an exciting
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). Collaborative team player who can bring IT, security, and operations together under pressure. To learn more about this exciting opportunity and benefits we offer, please read the JD and Candidate Pack provided
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to understand teaching, learning and research priorities. Working collaboratively with academic colleagues you will ensure collections, learning support and academic liaison activity remains current, relevant and