17 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "NORTHUMBRIA UNIVERSITY" research jobs at University of Newcastle
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, and family health (3 posts available) Workforce Inclusion and Innovation for Impact (2 posts available) A further theme on Care Improvement and Safety is led by Northumbria university. You will be
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Care Improvement and Safety is led by Northumbria university. You will be expected to have existing and well-established networks with a range of health, social care and community based collaborators
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at each level and, secondly, the general qualifications and experiences needed for entry at a particular level. Find out more about the Faculty of Science, Agriculture & Engineeringhere: https
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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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Programme Grant for Applied Research, led by the University of York in collaboration with Newcastle University and Northumbria University. The overarching research question for the programme is: How can we
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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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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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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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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