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Principal supervisors: Martin Orrell, School of Medicine, Professor – M.Orrell@nottingham.ac.uk Magdalena Opazo B., School of Medicine, Senior Research Fellow – Magdalena.Opazo@nottingham.ac.uk
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challenges in ensuring the resilience of AI in critical infrastructure. The main challenges are: a) Dynamic environments: Real-world conditions are unpredictable. Environmental factors and cyberattacks can
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supporting physical interpretation of the measured processes. While the primary focus of the PhD is experimental, the student will gain experience working at the interface of experiment and high-fidelity
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to shortlist applicants for interview. Masters at 65% Work experience relevant to the proposed project Publications - peer-reviewed Equal Opportunities The University is an equal opportunities employer and
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The always-on, safety-critical nature of air traffic control raises rich and exciting challenges for machine learning and AI. The University of Exeter in partnership with NATS, the UK’s main air
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electric motor manufacturing platforms at both locations. Project Description Electrification is a main enabler for decarbonised transportation. Ambitious roadmaps to achieve the “Net Zero” target by 2050 in
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/Orthoptics/Ophthalmology or a relevant Masters qualification. Essential skills include: Previous research experience and/or clinical experience in use of virtual reality devices or vision assessment in
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. To apply, please contact the main supervisor; Prof Nick Lockyer -nick.lockyer@manchester.ac.uk . Please include details of your current level of study, academic background and any relevant experience
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and a strong interest in computational modelling and programming. To apply, please contact the main supervisor, Dr. Mara Strungaru - mara.strungaru@manchester.ac.uk . Please include details of your
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IDLA studentships are available for eligible home students and a limited number of international students. Applicants should have (or expect to be awarded) a good UK Master's degree (or overseas