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Field
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easier tracking of applications. Funding Fully and directly funded for this project only for 3.5 years (total £137k): Standard UKRI stipend for 42 months (currently £20,780 per year, tax free) Tuition fees
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more than 140 countries. KU Leuven's three doctoral schools provide internationally oriented PhD tracks for more than 4 000 doctoral students. KU Leuven and affiliated knowledge institutes provide fertile
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to the development of digital twin technologies for sCO2 power generation systems. The Centre for Propulsion and Thermal Power Engineering has a key focus and a proven track record on gas turbine performance, gas path
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the world to track and trace the impact – and the shifting causes and frontiers – of today’s global challenges. Our vision is of a world in which researchers, educators, and students collaborate across
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
engineers detect faults earlier, track system degradation, and make better-informed maintenance decisions. But how can we turn this complex information into something reliable, explainable, and actionable
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the action sequences coordinating predator-prey interactions between the nematode Pristionchus pacificus and its prey. You will use tracking microscopy to obtain high resolution behavioural data of predator
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Max Planck Institute for Neurobiology of Behavior - caesar, Bonn | Bonn, Nordrhein Westfalen | Germany | 2 months ago
. The Project You will explore the action sequences coordinating predator-prey interactions between the nematode Pristionchus pacificus and its prey. You will use tracking microscopy to obtain high resolution
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– Modelling the Future Noise Environment – Trinity College Dublin (School of Engineering) You will build national-scale models that predict road, rail, air and emerging sources (UAVs, heat pumps, offshore wind
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is still to materialise, with one of the key barriers being its cyber security and privacy concerns. These concerns include data security, user privacy, and the potential manipulation or tracking
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knowledge in Machine/Deep Learning with experience in discriminative models, domain adaptation, and variational inference. Excellent analytical, technical, and problem solving skills Excellent programming