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to apply: Seismic wave propagation theory; seismic data acquisition and processing; signal processing, seismic imaging, geophysical inversion, scientific programming, reservoir modelling. Previous 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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that: it does not meet all eligibility criteria as set out in these guidelines the proposed Activity duplicates activity previously or currently being undertaken it includes any incomplete, false
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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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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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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
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fields and control systems. In addition to this, simulations of electron spins and subsequent data analysis are also an important aspect of our work. "Wide-field quantum microscopy of exotic materials
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colleauges in the School, in the Monash Centre for Electron Microscopy (MCEM) and abroad, with the goal of extracting the maximum of scientific information. Other projects centre on image simulations that help
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that are found readily available in the food supply. In animal models, emulsifiers cause inflammation in the gut, similar to that seen in Crohn’s disease. This project aims at investigating if removing emulsifiers
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for admission to Curtin University, applicants who receive an Invitation to Apply must forward a copy of their Invitation to Apply for Higher Degree by Research Form (which includes their CV and academic