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function. Detailed analyses of key biochemical and biological parameters to ascertain plant-soil-microbe interactions. The project researchers have extensive skills and scientific knowledge in conducting
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on using traditional in vitro techniques and third generation sequencing long-read approaches to characterise the genetic structure of demethylase inhibitor (DMI) resistance in the grape powdery mildew
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in conventional imaging, and to access a complementary ‘dark-field’ signal that originates from tiny sample structures. We do this by designing and implementing novel experimental set-ups and
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they bond in materials, but also develop transferable skills in scientific computing, data analysis and visualisation. "Machine learning for atomic-scale structure determination in thick nanostructures" (with
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minima challenges and improve feature representations. Objectives To achieve the above aims, the project will be structured around the following key objectives: • Objective 1: Feature Interpretation and
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for peer-based programs that reflect their specific contexts and needs. This research will employ a mixed-methods approach, structured into three distinct phases: co-design, pilot implementation, and
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part of their Australian PhD program students seeking to complete a full PhD program in the US postdoctoral candidates seeking to do research professionals (with 10 years' relevant experience) seeking
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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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interactions. In this research, you need to understand how spins interact with their environment and how to read-out and control single spins. This requires understanding of concepts like atom optics, magnetic
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and interactions. "Phenomenology of flavour anomalies in B physics" "CP violation in top-pair production and decay" "Extended Higgs sectors with coloured particles" "Exploration and Visualisation