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different environments influence behaviour and wellbeing. Advanced analytics, including AI and machine learning, will be used to interpret behavioural and emotional data, enabling real-time insights
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different environments influence behaviour and wellbeing. Advanced analytics, including AI and machine learning, will be used to interpret behavioural and emotional data, enabling real-time insights
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repair and maintenance of gas turbine engines. Applicants are invited to undertake a fully funded three-year PhD programme in partnership with Rolls-Royce to address key challenges in soft robotics
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opportunities for collaboration. About You The candidate must have obtained a PhD degree within 3 years and in the relevant areas of business administration or data analytics, such as Applied Psychology
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the relevant subject area. Candidates should have: A PhD degree in following areas Business Analytics Artificial Intelligence Information Systems Marketing Other emerging or interdisciplinary fields relevant
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English, including the ability to communicate with clarity on complex information. Excellent communication skills in Chinese is a plus. High analytical ability to analyse and illuminate data, interprets
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IDLA PhD studentship supported by EPSRC and AstraZeneca Project Description Amorphous solid dispersions (ASDs) represent one of the most promising contemporary strategies for enhancing the solubility and
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Supervisors: Prof Ioan Notingher (School of Physics and Astronomy) Dr George Gordon and Dr Abdelkhalick Mohammad (Faculty of Engineering) Funding: fully-funded (stipend and PhD fees) Start date
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: University of Nottingham Industrial partner: AstraZeneca Application deadline: 10 March 2026 Start date: October 2026 (or as soon as possible thereafter) Funding: Fully funded IDLA PhD studentship supported by
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implement novel computational tools and expand your analytical portfolio. Candidates should hold a PhD (or be near completion), an MSc in Bioinformatics, or have equivalent professional experience in