47 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" positions at Manchester Metropolitan University in United Kingdom
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, or other related academic discipline. Good programming skills (preferably Python). Background/work experience in Cyber Security, Machine Learning, and Finance would be highly beneficial. How to apply
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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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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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Computer Science or MSc in related field. Skills Knowledge of programming, Computer Vision, Machine Learning, or related discipline. Experience with Python and relevant AI/ML libraries (e.g., PyTorch, TensorFlow
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the School's reputation for excellence in applied psychological education. Ideal Candidate Applicants will have an emerging track record of excellence in learning and teaching demonstrated via quality
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tasks, deadlines and priorities independently. Confident using digital systems and able to quickly learn new processes. Customer‑focused and committed to providing an inclusive, supportive service
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Research in the department is distributed across five main themes: Machine Intelligence Data Science Smart Infrastructure & Cyber Security Human‐Centred Computing Computational Modelling The University is
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and teaching performance across the Department. About the Role & Team We are looking for candidates with expertise in biotechnology, who will teach across our MSc Biotechnology, as well as microbiology
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Project advert Do you want to digitally transform higher education (HE) learning experiences? This novel project aims to combine Artificial Intelligence (AI) and Extended Reality (XR) to create a
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where you will shape the Library's strategic contribution to teaching, learning and co-curricular support throughout the student journey. This includes embedding Library expertise in curriculum design and