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the exploration of viable opportunities for the application of immersive learning environments to address key performance questions in sport. The successful candidate will work with a range of existing and new high
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, and for the environment. The CoSTAR Foresight Lab has been established to explore the challenges and opportunities for creative businesses - in particular in Film, TV, Games and Performance - and this
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to develop new deep learning methods for audio-visual scene analysis in a smart home environment. This will involve the use of heterogeneous sensors, e.g. microphones and cameras, for analysing various sources
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at Cranfield benefit from being part of a dynamic, focused and professional study environment and all become valued members of the Cranfield Doctoral Network. This network brings together both research students
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between these processes is not well understood because Alfven waves can only be investigated at laboratory scale in a very high magnetic field environment. As a consequence, experimental data on Alfvenic
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dynamics associated with both rigid and flexible structures commonly found in various devices that harvest energy from the environment. These structures include wave energy devices, offshore wind turbine
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cryptographic asset list, identify components needing post-quantum upgrades, and estimate associated risks. - A testbed network with diverse hardware and software capabilities, providing a realistic environment
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Supervisory Team: Dr Erisa Karafili, Dr Basel Halak PhD Supervisor: Erisa Karafili Project description: Cyber-attacks in multi-domain environments present a critical challenge due to
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-disciplinary training. 3.5 years funding includes stipend, tuition fees for UK students A supportive environment as signatories of the Researcher Development Concordat (www.vitae.ac.uk/policy/concordat
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research; you will be positively impacting people’s lives and the environment. Eligibility Candidates must hold a UK Bachelor degree with a minimum of Upper Second Class honours in Computer Science