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interviews commencing 1, 4 and 5 August. For further information on how to apply, please click the ‘Apply’ button above or email pgradmissions@bournemouth.ac.uk
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the collaborative partner to this CASE application (ForcesWatch ), this project will: (i) assemble open source ‘trace data’ to pursue an investigative analysis of non-governmental military entities; (ii) connect
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networking with colleagues and students; planning and organising research resources and workshops. Successful applicants will have or be near to completing a PhD in computer science, information engineering
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of freshwater species which would facilitate greater spatial and temporal sampling of freshwater fishes in Madagascar. This project has a direct conservation impact providing data to support the sustainable
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, machine learning, and information-theoretic approaches to achieve robust, non-intrusive security for the ever-expanding IoT landscape. Feature Engineering for Encrypted Traffic: It is crucial to identify
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solutions are not yet evident. There are several aspects that should be considered: The level of AI sophistication in terms of decision-making autonomy and human-machine teaming. The use of logic and data
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the PhD. The Faculty has outstanding facilities and works in partnership with leading industrial partners. Please contact Mohammad Reza Ilkhani ezzmi1@exmail.nottingham.ac.uk for further information and an
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interest in the role. For more information or informal enquiries, please contact Dr David Greenwood, david.greenwood@newcastle.ac.uk (ResTOrES) or Dr Shahab Dehghan shahab.dehghan@newcastle.ac.uk (RENEW
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within the icing group at Cranfield has captured valuable data on droplet splashing, rebound and secondary impingement through experimental research in the vertical icing wind tunnel at Cranfield
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resilient, long-term cost-benefit case for modernising and protecting our grid. The project will complement the ISS initiative and model data-driven grid optimisation services that ISSs can enable. Firstly