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Overview About the Role Applications are invited for a motivated and committed Machine Learning Engineer. The successful candidate will contribute to Queen Mary’s national reputation for research by planning
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details and apply Overview About the role The School of Engineering and Materials Science at Queen Mary University of London has a vacancy for a Digital Learning Technologist. The purpose of this role is
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PGT programmes. About You The successful candidate will have experience of using virtual learning environments, knowledge of learning technologies and skilled at working with computer-based record
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computer science with specialisation in data science, machine learning or deep learning, or in Earth/Environmental Science with experience in applied data science, machine learning or deep learning. You also will
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View All Vacancies Centre for Excellence in Learning and Teaching Salary: £43,947 to £49,908 per annum, inclusive. Closing Date: Sunday 14 April 2024 Reference: DOE-CELT-2024-01 The London School
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apply Overview About the Role Join our team at Queen Mary University of London as a Teaching & Learning Systems Development Analyst. In this full-time permanent role based at our East End of London Dept W
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meetings across the EU, perform R&D in the field of machine learning for plant species classification and support the implementation of the project application development. About You Applicants must have a
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apply Overview About the Role Applications are invited for a post-doctoral research associate to lead on a Barts Charity funded project. The research involves application of machine learning methods
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characteristics using hybrid machine learning approach. This project is in collaboration with Kyushu University, Japan under the supervision of Dr Amin Paykani at Queen Mary University of London to realise
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equivalent level of professional qualifications and experience, with expertise in at least one of the areas: machine learning, applied topology, and/or probability theory. About the School The School has