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PhD project: Modelling Resilience of Water Distribution Networks Supervised by Rasa Remenyte-Prescott (Faculty of Engineering) Aim: To develop an modelling approach for assessing water network
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: September 2026 Duration: 3.5 years Subject Area: Biophotonics/Optics/Engineering The cancer of the bile ducts affects around 3000 people in the UK each year and its incidence and mortality are increasing. We
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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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a team to undertake a PhD in the Optics and Photonics Research Group (OPG), supervised by Dr. Mitchell Kenney alongside collaborators within OPG and Life sciences. (https://www.nottingham.ac.uk
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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
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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
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), organization and properties (e.g. proteomics, glycomics, rheology, supramolecular network organization) will be identified. Cilia function/mucociliary clearance will be characterized using high speed microscopy