613 web-programmer-developer-"https:"-"https:"-"https:"-"UCL" PhD positions in United Kingdom
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capabilities within dynamic urban settings, where delivery demands and sensing requirements fluctuate rapidly across time and space. By developing intelligent scheduling and decision-making frameworks
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quantum mechanical effects are typically too expensive for simulations of disordered systems like liquids. This PhD will develop and deploy the tools needed high-fidelity simulations: machine learned
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development of hybrid expertise. This is your opportunity to contribute to building AI systems that are not only advanced but are also equitable, sustainable, and sensitive to the complex social fabrics
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forecast local generation and demand. To do so, historic local data (e.g., the active buildings in Swansea University) and Met Office data will be used to train and validate the proposed ML model
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-informed learning) with hard physical constraints (Navier–Stokes in spectral space) we will develop methods to super-augment experimental data via data assimilation and turn sparse wind-tunnel measurements
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scale-up of sustainable energy technologies requires coordinated development with the evolving energy system to unlock their full potential and establish economically viable development pathways. This PhD
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small code development will be necessary to implement actuator disc/line wind-turbine models. This approach facilitates a deep understanding of the flow physics surrounding MS formation. You will develop
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if this is the case. As this is the methodology used by government to assess and compare the energy and environmental performance of dwellings, the current rating disincentivises developers from specifying
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. Project Overview The project focuses on developing and applying advanced CFD models for aeroengine oil systems. There will also be opportunities to integrate machine learning techniques for building lower
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to effectively communicate complex and novel research. Opportunities to develop lab demonstration/teaching experience. The confidence to deal with uncertainty and tackle any problem without a defined final answer