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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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loading conditions. By generating datasets from finite element simulations, ML models can learn the mapping between unit cell design parameters and homogenised properties. State-of-the-art approaches
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This fully-funded PhD studentship, sponsored by the EPSRC Doctoral Landscape Awards (DLA), Cranfield University and Spirent Communications, offers a bursary of £24,000 per annum, covering full
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PhD studentship in Computational Chemistry – Training force fields for computer-aided drug design with machine learning. Award Summary 100% fees covered, and a minimum tax-free annual living
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. This PhD project will explore a novel approach: leveraging polymeric microelectromechanical systems (MEMS) technology to create a miniaturised micropump-based ingestible capsule that can actively deliver
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-term risk to society (WEF, 2025). The increasing advance of large language models (LLMs) has led to a rapid rise in LLM misuse by malicious actors, for the purposes of low-cost generation of fake news
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The University of Exeter’s Department of Engineering is inviting applications for a PhD studentship co-funded by the partner Hydro International and University of Exeter Faculty of Environment
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engineering wake models to mesoscale simulations with wind-farm parametrisation, when predicting wake effects and thus annual energy production. The student will improve current models used by industry such as
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these PhD projects the research will aim at quantifying some of these mechanisms for different wildfire scenarios. The project will likely require a combination of qualitative, quantitative and simulation
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work closely with the engineering team at SSEN to translate your research to real-world impacts. What you would be doing As a Research Associate, you will investigate the evolving role of electrical