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Field
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techniques from optimization and control theory, scientific machine learning, and partial differential equations to create a new approach for data-driven analysis of fluid flows. The successful applicant will
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supporting the Net Zero 2050 target. This PhD project will develop an AI-enabled framework that optimizes wind turbine control and predictive maintenance. Using Deep Reinforcement Learning (DRL), the system
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Edinburgh, Scotland | United Kingdom | 3 months ago
support UK industry to reach net zero. Alongside their research, our PhD researchers gain valuable training in how to apply their research within the wider industrial system, including opportunities
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collaborate closely with a postdoctoral researcher responsible for in-situ fatigue testing under corrosive environments, and will participate in the 4D (x,y,z,time) analysis of the AM microstructure and crack
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simulations to explore which gene regulatory network architectures are necessary for robust regulation and effective communication between compartments. A third possibility is to simulate the evolutionary
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network analysis, or other digital research methods. Excellent ability to communicate effectively in spoken and written English. Ability to work independently as well as actively contribute
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animals; and technical uses such as for remote sensing, designing materials and devices for noise abatement, biodiversity assessment and underwater communication networks. The Acoustics Group offers a
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Soils. • Knows, or is interested in, working with GIS/spatial data analysis, network analysis or modelling socio-economic structures. We offer an appointment in accordance with the Collective Labour
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reuse of energy systems analysis processes. In line with FAIR and Linked Open Data principles, you will design interfaces that enable the smooth processing of big data in the context of scientific, AI
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) opportunities for publication; (2) the chance to develop knowledge and skills in neuroimaging analysis; and (3) experience of working with digital mental health and smartphone-based assessment tools. There will