70 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" positions at University of Newcastle
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enhancement, of a high-quality student learning experience. The post is fixed- term, until the 31st of July 2028 . The role is suitable for blended working. Please visit the LTDS web pages to find out more
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-invasive diagnostic test for motor neuron disease (MND). You will join a multi-disciplinary team of neuroscientists, MR physicists, neuroradiologists and computer scientists and will be primarily responsible
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cloud computing platforms Experience working with older adults and/or patient groups (Desirable) Understanding of Parkinson’s disease (Desirable) Experience in machine learning/AI techniques (Desirable
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is full time, fixed term for a period of 2 years For informal enquiries contact: Professor Fiona Oakley (fiona.oakley@newcastle.ac.uk ) Find out more about the Faculty of Medical Sciences here: https
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learning activities and resources. You will be expected to provide learning support, pastoral care and academic mentoring to students, and to use your subject expertise to contribute more widely to the
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your academic profile through project activities, publications, and participating fully in Newcastle’s Music Department and/or other parts of the Faculty. This includes opportunities to teach modules
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qualifications and experiences needed for entry at a particular level. Find out more about the Faculty of Science, Agriculture and Engineering here: https://www.ncl.ac.uk/sage/ Find out more about our Research
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expertise, we ensure that our graduates are well-prepared for roles in information systems and operations management. For more information about the Group, please visit our website: https://www.ncl.ac.uk
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collaborators, contributing ideas and troubleshooting. You will have excellent opportunity to work with a broad range of researchers in both Newcastle and internationally. For more information see, https
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with interdisciplinary collaborators. This project aims to improve how muscle signals can be used to control external devices, with a focus on making such systems faster to learn, more reliable, and