398 data-"https:"-"https:"-"https:"-"https:"-"U.S"-"UCL"-"UCL" PhD positions in United Kingdom
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. The Materials for eXtremes (M4X) research group (https://more.bham.ac.uk/M4X/ ) investigates new alloys for extreme environments from fusion & fission reactors, to aerospace gas turbines and concentrated solar
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overseas. Training can be provided in computational fluid dynamics, machine learning, and nonlinear dynamics. These skills are highly valued across a wide range of industries. Recent data reveals that Fluid
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to environmental change. The role will focus on generating high-quality data to inform and validate modelling work within a NERC-funded interdisciplinary project. The NERC-funded project develops a new development
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, including Machine Learning & Artificial Intelligence, Colour & Imaging, Computer Vision, Graphics, Data Science, Health Computing, Computational Biology, Cyber Intelligence and Networks. We collaborate with
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data to inform and validate modelling work within a NERC-funded interdisciplinary project. The NERC-funded project develops a new development-centric framework for understanding adaptation under
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including at the National Physical Laboratory, as well as local work at the University of Surrey. Skills in data analysis, scientific communication, radiation detection and measurement will be strongly
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that integrates online behavioural experiments, multi agent simulations, and the analysis of animal communication data. Social coordination on group interaction structures: Extending the naming-game framework
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within livestock environments contains a wealth of information about animal behaviour, health and emotional state, yet it remains relatively under-utilised in commercial dairy systems. This PhD will
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CFD predictions with quantum gas LiDAR measurements, using simulated and experimental data to relate observed concentration fields to underlying emission sources. This will include the development
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-centric demography and will work closely with the PI and wider team. The postholder will lead modelling components of the project and contribute to integrating theory with empirical data. The NERC-funded