47 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" positions at Manchester Metropolitan University
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design and implementation of visual cues detection on video datasets (face and gesture), context-aware multimodal analysis, machine learning/self-supervised learning for automatically detecting subtle
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for representing and combining multimodal information over time. Grounded in machine learning, representation learning, and efficient algorithms, the work addresses real-world challenges in sustainable and
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be found at https://www.mmu.ac.uk/study/apprenticeships/courses For an informal discussion regarding this post, please contact the Programme Manager, Dr Claire Parry c.parry@mmu.ac.uk If you would like
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found through our executive recruitment advisors (Perrett Laver) via this link - https://candidates.perrettlaver.com/vacancies using reference 8324. For an informal discussion, please contact Daniel
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Computer Science, Data Science, Computer/Information Management, Management Information Systems (MIS), Business Information Systems or a related subject. Skills: Strong understanding of data protection, security
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. Interviews are expected to take place either w/c 6th April or w/c 13th April 2026. Apply at https://manmetjobs.mmu.ac.uk/jobs by submitting a CV and a covering letterdetailing how you meet the criteria
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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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*Please do not apply for this vacancy via the university website* For further details, including the job description and person specification, please visit https://plusportal.perrettlaver.com/ quoting
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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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machine learning (ML) and artificial intelligence (AI) workflows, the project aims to create a comprehensive molecular atlas and identify novel, translational biomarkers and therapeutic targets. Project