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The School of Computer Science at the University of Nottingham is pleased to invite applications for a fully funded PhD studentship in deployable, efficient, and trustworthy computer vision. This is
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Department: School of Computer Science Details of Studentship: Fully Funded PhD Studentships Applications are invited from Home and International students for a number of fully-funded PhD
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development (such as 3D modelling, VR, animation or interactive design) with inclusive design and accessibility. This project bridges computer science and social care to deliver a digital health training tool
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Programme Manager to lead initiative on Sustainable Multi-Sector Electrification Using Advanced Integrated Motor Drive Technologies as part of a successful EPSRC funded Programme Grant. About the Role As
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Science at the University of Nottingham, UK, which is ranked among the top UK Computer Science departments (http://www.nottingham.ac.uk/computerscience/ ). The School at UNNC offers a full range of undergraduate and
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Science at the University of Nottingham, UK, which is ranked among the top UK Computer Science departments (http://www.nottingham.ac.uk/computerscience/ ). The School at UNNC offers a full range of undergraduate and
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Science at the University of Nottingham, UK, which is ranked among the top UK Computer Science departments (http://www.nottingham.ac.uk/computerscience/ ). The School at UNNC offers a full range of undergraduate and
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Science at the University of Nottingham, UK, which is ranked among the top UK Computer Science departments (http://www.nottingham.ac.uk/computerscience/ ). The School at UNNC offers a full range of undergraduate and
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will be responsible for monitoring all computer systems connected to the university network to identify known vulnerabilities, potential weaknesses, security breaches, unusual activity and unauthorised
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Cyber Security team based in Digital & Technology Services. The Cyber Security Analyst will be responsible for monitoring all computer systems connected to the university network to identify known