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and apply machine learning and deep learning models to analyse complex, multi-dimensional datasets, including spatial transcriptomic, proteomic, and single-cell sequencing data. The candidate will
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informal urban settlements? Informal settlements house nearly a quarter of the global urban population, yet urban-scale upgrading is often formulaic and not targeted, or hindered by the high cost, complexity
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social media and online platforms. The project will use natural language processing (NLP), large language models (LLMs), and network analysis to identify coordinated harassment, anti-gender equality
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of discourse, identity and meaning-making within online environments. Approaches such as semi-structured interviews, digital ethnography or social media data collection (including platform-based content analysis
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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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-preserving and capable of adapting to new environments without extensive retraining. Existing approaches often struggle with understanding complex human behaviour while satisfying privacy and real-time
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record. Mathematical skills in linear algebra, calculus, and statistics for algorithm development and data analysis Evidence of research output including high quality publications, conference contributions
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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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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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Curtin University Background in genetics, bioinformatics, epidemiology, biostatistics, or related fields Demonstrated computational skills and experience with genomic or health data analysis Commitment