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, the internal workings of deep neural networks remain largely mysterious, posing a significant challenge to the interpretability, reliability, and further advancement of these models. This project seeks deep
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My research interests focus on the stars - primarily their structure, evolution and nucleosynthesis. This can involve modelling of mixing in stars, or effects of changing nuclear burning rates
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the development of numerical methods for astorphysical fluid dynamics and radiation transport. Projects may employ a range of approaches from analytic modelling and numerical calculations on desktop
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I supervise a wide range of projects stellar astronomy. They include modelling stars in 1D or 3D, deciphering the origin of the elements (stellar nucleosynthesis), and observing using optical
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interesting implications for standard models of hierarchical black hole growth. Aims This project aims to explore the optical/IR properties of the most extreme IFRSs, and confirm their redshift range
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I am an experimental particle physicist that works on the search for phenomena that are beyond our current theoretical understanding in terms of the Standard Model of Particle Physics. The research
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Inference Tool (GAMBIT) Community to study theoretical frameworks that extend the standard models of particle physics and cosmology, with the aim of uncovering the nature of dark matter, dark forces, and dark
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organic nanomaterials for future electronics, optoelectronics and spintronics" "Light-transformed materials" "Theoretical and numerical modelling of the electronic structure of functional low-dimensional
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of mesons and baryons and their role as indirect probes for physics beyond the standard model. I also follow searches for new physics at the large hadron collider (LHC) and use them to constrain new particles
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models that can forecast the likely outcomes of current practices. The project aims to develop cutting-edge machine learning and statistical risk prediction techniques to predict each short-term, long-term