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About the Role You will teach undergraduate and postgraduate students about Artificial Intelligence, whilst undertaking scholarship research in pedagogical methods. About You You will have a passion for developing new educational methods and approaches, and disseminating them to influence...
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. About the National R&D Lab: The CoSTAR National Lab is the largest ever investment in creative industries R&D by UKRI. A £51.1m programme led by Royal Holloway, University of London to develop a National
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About the Role Applications are invited for a part-time Research Assistant position within the Centre for Advanced Robotics (ARQ), School of Engineering and Material Sciences (SEMS) at Queen Mary University of London. The project is funded by Innovate UK and will be supervised by Dr. Ketao...
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(Maternity Cover) to support teaching on the mentorship programme and the evaluation of the online MSc Sexual and Reproductive Health Policy and Programming (SRHPP) which is co-delivered with the University
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for an experienced leader to play a key role in delivering our new Transformation Programme. You will play a leading role overseeing our exciting programme of activity, working closely with the Senior Leadership Team
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Staff support through our Employee Wellbeing Programme and access to Togetherall. Pension Scheme with generous employer contribution Cycle to Work scheme, Season Ticket Loans, free on campus parking and
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Evidence. We expect applicants to possess a broad range of skills needed to teach effectively as well as academic leadership and an effective contribution to programme or department administration
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Teaching-Focussed Lecturer in Life Sciences on the Integrated Foundation Year (IFY) Programme at Royal Holloway, University of London. This is a 0.4 FTE position. The well-established and successful IFY
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CoSector CoSector – University of London is a digital services provider that operates as part of the University of London. It evolved from the University of London Computer Centre (ULCC), established in 1968
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and statistical modelling, statistical image analysis and computer vision, chemometrics, biophysics, bioengineering. Preference will be given to candidates with a demonstrated experience in applying