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group working on cutting-edge research on turbulent reacting flows utilising the advancements of high-performance computing. The project is funded by the Engineering Physical Sciences Research Council
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have access to state-of-the-art computational and bio-nano-technology equipment to test, debug and improve their theories in living organisms. The role will require regular liaison with the other
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LLM Models and Artificial Intelligence systems. Candidates should have a Masters or PhD in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Data Science, Statistics
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economics on the Institute and Faculty of Medical Science postgraduate and undergraduate courses as required Identify and undertake a programme of professional development, including further training in
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term Research Assistant/Associate position and provides an exciting opportunity for an early career scientist who is interested in human movement, wearable technology and digital outcomes. You will be
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to a national fellowship programme from e.g. NIHR. Find out more about the Faculty of Medical Sciences here: https://www.ncl.ac.uk/medical-sciences/ Find out more about Newcastle University Research
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of Medical Sciences here: https://www.ncl.ac.uk/medical-sciences/ Find out more about our Research Institutes here: https://www.ncl.ac.uk/medical-sciences/research/institutes/ Interviews will be held between
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the School of Computing and support their ambitious plans for growth and development. Working within Technology Operations in the University’s IT department, you will be responsible for coordinating and
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University’s Population Health Sciences Institute. You willl be working with Dr. Eugene Tang (NIHR Clinical Lecturer). It is anticipated that this role will provide an excellent platform for the successful
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computational models of the beyond-mean-field quantum fluids, test these by modelling the experiments at Durham University, and thereby advance our theoretical understanding of beyond-mean-field physics. It is