41 postdoc-in-thermal-network-of-the-physical-building PhD positions at University of Nottingham in United Kingdom
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network performance. Resilience evaluation will consist of proposing a method for the best use of resource allocation, which will make water networks robust and resilient to these threats. Summary: Open to
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modelling framework to predict key thermal hydraulic parameters for boiling flows within complex geometries at high heat flux conditions, relevant to the engineering design of thermal management elements
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the application and interview process. Discover our benefits, visit Your Benefits website. We welcome applications from UK, Europe and worldwide and aim to make your move to the UK as smooth as possible. Visit the
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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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filled. Do you want to be at the heart of the clean energy revolution? This PhD project gives you the chance to design and build the novel materials that could make hydrogen-powered aircraft, electric cars
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of the clean energy revolution? This PhD project gives you the chance to design and build the novel materials that could make hydrogen-powered aircraft, electric cars and renewable energy systems safer
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science/physics to build strong knowledge in both manufacturing and material science while building strong relationships with both academic and industrial areas at international level. Graduates finishing
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validate new capabilities within XCALibre.jl, Nottingham’s GPU-accelerated, AI-ready CFD framework, turning complex coupled physics into practical tools that engineers can use in real manufacturing workflows
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validate new capabilities within XCALibre.jl, Nottingham’s GPU-accelerated, AI-ready CFD framework, turning complex coupled physics into practical tools that engineers can use in real manufacturing workflows
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for an enthusiastic graduate to build a strong skillset in interdisciplinary research and a collaborative network with both academic and industrial partners at an international level. Important funding note: This