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theory, robust and optimal control, and physics-informed modelling, this research aims to bridge the gap between data-driven learning and dependable real-world autonomy. Aim You will have the opportunity
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. The PhD will adopt a strongly quantitative and data-driven approach. The student will develop and evaluate mathematical and statistical models of short-term attention dynamics, drawing on tools from
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Stansted Airport as a case study. This will include an assessment of the business and commercial models that will best support the transition to handling hydrogen at Stansted, and to airports and the wider
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into areas such as AI-driven verification, predictive maintenance, and compliance assurance, aiming to enhance system reliability and safety. Situated within the esteemed IVHM Centre and supported by
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13 Mar 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Ocean Operations and Civil Engineering Research Field Computer science
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will be used as a laboratory through both fieldwork campaigns and numerical model development. The candidate will identify hotspots of eddy generation driven by instabilities and their control on cross
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mouse models, in close collaboration with the Bentires Lab at the University of Basel. This PhD project is fundamentally driven by hands-on experimental in vivo mouse work; therefore, candidates must
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, physics-based models, and data-driven methods to support design, manufacturing, and decision-making across aluminium value chains. Education and competence building are central pillars of FAST. The centre
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of Engineering at the University of Nottingham, which conducts cutting-edge research into human–technology interaction, cognitive workload, decision-making, and the design and evaluation of complex socio-technical