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Natural Language Processing (NLP) in the areas of culturally aware NLP or multilingual conversational NLP, and integration of such methods to support language technology in multiple languages
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PhD Studentship: Artificial Intelligence for Building Performance – Optimising Low-Pressure Airtightness Testing Supervisors: Dr Christopher Wood (Faculty of Engineering) and Dr Grazziela Figueredo
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Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers
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Supervisors: Dr Christopher Wood (Faculty of Engineering) and Dr Grazziela Figueredo (School of Computer Science) External Partner: Build Test Solutions Ltd (BTS) Start Date: 1st October 2025
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a thorough knowledge of mechatronics engineering for electric vehicle systems and to have a working knowledge of a range of topics within the sphere of their chosen discipline. They will also be
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”, at Brunel University London, who must start by 1st October 2025. BCAST is a speciality research centre in metallurgy with a focus on processing of metallic materials for light weighting applications
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. The processes are energy-intensive, lead to rapid catalyst deactivation, and result in high CO₂ emissions. This project aims to address these challenges by developing electrified non-thermal plasma catalysis
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either of these species is likely to affect its onward behaviour, and data on these processes will support predictive modelling. The PhD student will be a part of the Surrey/AWE Centre of Excellence in
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several processing units with variable memory, can be profiled to pool the resources. The analytical systems, developed on data collected by onboard sensors and software triggers, can assist the operating
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underlying condition. This PhD project aims to link the NJR with the British Orthopaedic Foot and Ankle Society fusion registry to investigate the key factors influencing success of either surgery, with