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resilience One of the essential networks for society is water distribution networks. The delivery of water to the customers is affected through different threats to the system. These include: failure
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. Applicant should have experience in time-series processing with appropriate AI models (recurrent networks, LSTM) and experience in 2D convolutional neural networks in Python. This is a part-time position (5
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(SFDI) and also from our custom-built photoplethysmography (PPG) sensor. Applicant should have experience in time-series processing with appropriate AI models (recurrent networks, LSTM) and experience in
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, the University of Nottingham provides the perfect environment to carry out high-impact research that can genuinely shape the UK’s Net Zero future. This is your opportunity to create breakthrough materials
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the perfect environment to carry out high-impact research that can genuinely shape the UK’s Net Zero future. This is your opportunity to create breakthrough materials for clean energy technologies and develop
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PhD Studentship: Rolls-Royce Sponsored PhD Scholarship – Micromechanics and In-Depth Materials Analysis of Advanced Aerospace Materials Upon the Manufacturing Process Engineering Applications
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cyclical loading and interface effects - and rationalise the use of this method on various scales which society requires. This project requires a background which includes undergraduate geotechnics/soil
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Research Group) Aim: Model and analyse component and system level reliability, availability and resilience of hydrogen systems Background Driven by climate change concerns and net-zero carbon targets, in
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-edge adaptive mesh refinement techniques; a lightweight prediction tool developed upon the simulation data to predict key thermofluidic parameters for the design of high heat flux cooling components
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) models for laser-material interaction, gas dynamics and phase change Implement GPU-efficient algorithms and meshing strategies for substantial speed-ups Validate against MTC laser drilling use-cases and