34 parallel-computing-numerical-methods positions at LIVERPOOL JOHN MOORES UNIVERSITY
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highly organised individual to work on a fixed term for 3 years research programme to advance understanding of the risk factors for exertional heat illness in military personnel. You will work alongside
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Deadline 14 Sep 2026 - 00:00 (UTC) Country United Kingdom Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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visitors, supporting everything from memberships and bookings to enquiries, events and programme administration. This is more than a traditional reception role. As part of a team delivering the University's
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with the Programme Leaders and staff You will have a strong national and international profile and an evidenced ability of providing leadership at your subject level. Informal enquiries can be made
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Liverpool John Moores University (LJMU) is a distinctive, unique
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programmes. This role concerns the portfolio of professional programmes (LPC and SQE programmes) and any other undergraduate or postgraduate programme within the School of Law and Justice Studies as determined
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other partners. To develop, manage and lead on the delivery of an effective strength & conditioning programme for the LJMU Performance Sport Programme. This will include designing, delivering and
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School of Computer Science and Mathematics, Liverpool John Moores University in partnership with Ames Goldsmith UK Limited This post is fixed term for 30 months £38,000-£42,000 per annum depending
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, relating to craniofacial identification research and machine learning. You will require a computer science background. You will be applying AI and/or machine learning to Face Lab processes in relation
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, relating to craniofacial identification research and 3D digital avatars. You will require a 3D animation, CGI, computer science and/or anatomical modelling background. A knowledge of anatomy and 3D