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to the space-based LISA observatory. The research will advance post-Newtonian waveform modelling through improved analytical techniques, incorporate strong-field information from numerical relativity simulations
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regions, and may have also been observed in historical trends, but the processes driving this delay are not well understood. This project will use observations and climate model simulations to examine how
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Application deadline: 31 December 2025 Apply now Are you excited to use data and simulation models to design healthier, more active cities? Join the Institute for Risk Assessment Sciences (IRAS) as a PhD
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simulations linking chemistry, processing, and performance. Integrate experimental data from the experimental PhD’s for model validation. Collaborate with experimental PhDs and Canon Production Printing
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project, you will develop machine learning models that learn from high-throughput experimental datasets to uncover structure–property relationships and guide the selection of new experiments. The datasets
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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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overheating models and inform retrofit strategies across different urban morphologies and building typologies for building decarbonisation. The role holder's key responsibilities include: Contribute to the work
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Your Job: This research primarily seeks to incorporate advanced neuron models, such as those capturing dendritic computation and probabilistic Bayesian network behavior, into unconventional
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this field. We are currently looking for researchers with strong energy systems knowledge, electricity, heat, and gas netwrok modelling & simulation, and research software development skills that want
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(ED&I) and alternative routes into research. Desirable skills include experience in modelling and simulation (MATLAB/Simulink, Python), energy systems, and intelligent control methods. Applicants should