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Field
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. Yet, many stellar and planetary parameters remain systematically uncertain due to limitations in stellar modelling and data interpretation. This PhD project will develop Bayesian Hierarchical Models
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real-time rerouting recommendations. Beyond the PhD, the project’s data-driven models will evolve through continuous real-world updates, contributing to sustainable aviation practices and climate-aware
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(R1) Positions PhD Positions Country United Kingdom Application Deadline 30 Nov 2025 - 23:59 (Europe/London) Type of Contract Temporary Job Status Full-time Job Status Extra Information PhD postion
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for the next generation of models is the detailed treatment of spin precession and orbital eccentricity. These effects encode critical information about compact binary formation channels and evolutionary
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position aims to conduct holistic modelling and analysis of integrated energy systems to reach optimal system performance while incorporating various sustainable energy infrastructures. Potential research
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contribute significantly to these growing fields. This PhD position is ideal for candidates interested in the following areas of machine learning: Geometric learning: exploiting the structure of data (e.g
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its first two years of science operations. However, new modelling efforts are needed to fully interpret these datasets. In this PhD project, the researcher will use atmospheric modelling techniques
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turbulent flows, as their mean strain is varied from high to low levels, and will document the failure of classical theories to describe intermediate strain regimes. The produced data-set will be utilized
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About the role Applications are invited for a Research Associate position within the Control and Power Research Group, working on a new research initiative focused on load modelling in power systems
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Applications are invited for a Research Associate position within the Control and Power Research Group, working on a new research initiative focused on load modelling in power systems at grid supply