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inside cold clouds of gas and dust, but these clouds are messy, complex, and difficult to observe in full. A lot of my work is about building and analysing better maps of this material so that we can
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explore how geometry, wettability, and fluid properties can be harnessed to achieve passive and energy-efficient liquid manipulation. The candidate will combine experiments and theoretical analysis
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expertise: Bioinformatics experience A PhD student with bioinformatics experience will generate and analyse complex microbiome sequence data to complement existing rumen microbiome datasets. Via multi-omics
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design new analysis, design and decoding methods for error correction codes which will improve information reconciliation in quantum key distribution. Expression of Interest - PhD Opportunity in error
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Curtin University Background in genetics, bioinformatics, epidemiology, biostatistics, or related fields Demonstrated computational skills and experience with genomic or health data analysis Commitment
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to manage large complex engineering problems with thousands of components, relationships, constraints and details. This project will use this systematic, searchable, analysable modelling technique to examine
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parameters will be assessed. The goal of the projects will be to identify best clinical practice for this complex surgical problem. The projects will be separated along clinical and radiological/engineering
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methods, including causal econometric analysis and predictive economic modelling, to assess the economic and distributional impacts of policy interventions across healthcare and disability service systems
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groundwater modelling, adaptive management, quantification of submarine groundwater discharge, and the analysis of nutrient transport processes. The PhD projects provide opportunities to engage in combinations
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candidate. The PhD project will focus on data analytics, data mining, and statistical modelling of complex biological system in crops. The project will have access to large volume of state-of-the-art Next