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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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pursuing projects in the following priority areas are particularly encouraged to apply: Models of demand for blood use Health service delivery for transfusion medicine Implementation science in transfusion
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for admission to a relevant HDR must also apply. Instructions on how to apply for admission can be found here: https://www.flinders.edu.au/study/apply/apply-research-degree/how-to-apply By lodging this separate
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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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Risk-Relevant Biomarkers of Release Events) and one each for risk assessment (PhD-3 Quantitative Risk Assessment of Biofilm-Derived Hazards) and management (PhD-4 Predictive Modelling and Mitigation
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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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characterisation, to generate data-rich descriptions of evolving materials and processing pathways. A central aim is to couple these experiments with machine learning, mechanistic modelling, and automated data
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applied mathematical modelling machine learning multi-fidelity modelling numerical methods. Demonstrated programming ability (MATLAB/Python/C++) and enthusiasm to learn PyTorch. Previous experience in one
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are made where and when; supernovae (mechanisms and nucleosynthesis); gamma-ray bursts and their progenitors; modelling of Type I X-ray bursts and superbursts (thermonuclear explosions on the surface
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We have several PhD opportunities available in areas such as Multimodal Large Language Models (MLLM) for human understanding, MLLM safety, and Generative AI. If you have published in top-tier