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I specialise in the numerical modelling of high-energy particle collisions , such as those occurring at the Large Hadron Collider. Accordingly, most projects I offer straddle the intersection
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advice and user support, deliver training, develop methods, troubleshoot instrumentation and ensure high-quality data to support world-class research. You will also support X-ray Computed Tomography (XCT
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, which are some of the most numerous stars in the Universe. "Weighing stars using stellar vibrations: Asteroseismic masses of Red Giant Stars using space telescope data" "Using optical telescope
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Anomaly detection methods address the need for automatic detection of unusual events with applications in cybersecurity. This project aims to address the efficacy of existing models when applied
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analytical imaging methods, then working with collaborators to apply these methods to biomedical research, diagnostic imaging and beyond. Research projects vary from purely theoretical, to computational
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industry partner, CSL Behring. These datasets hold critical patterns, anomalies, and insights that traditional methods miss. You will develop, test, and evaluate robust, interpretable machine learning models
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-intelligence-controlled atom-by-atom synthesis of functional nanomaterials Theoretical and numerical modelling of the electronic structure of functional low-dimensional nanomaterials (with Prof Nikhil Medhekar
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suitably qualified individuals for up to three training scholarships in health economics within the PACE program. The successful candidates will undertake a tailored training program in theory and methods
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events with the GOTO telescope network. Projects focussing on thermonuclear bursts will involve analysis of new and archival data from satellite-based X-ray telescopes, and running numerical models
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on large and diverse datasets that include both genuine and synthetic voices allows these models to improve their accuracy and robustness. Apart from proposing and implementing deep learning methods