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ARC DP project aiming to develop of hybrid asymptotic methods based on exponential asymptotics and computational complex analysis apply these methods to applied nonlinear problems arising from water
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of biological, material and flow parameters demonstrate excellence in data analysis, interpretation of results and directing future experiments write scientific communications intended for publication in refereed
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University). Neuroimaging Data Analysis: Process and analyse structural and functional neuroimaging data to extract meaningful insights into brain function. Apply state-of-the-art software tools and
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understanding of non-stationary complex systems through theoretical analysis and numerical simulation develop efficient statistical algorithms for analyzing and inferring dynamical models from multivariate time
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, immunology, or stem cell research prior experience in cancer and/or immunology research is highly desirable proficiency in techniques such as cell-based assays, animal models of disease and data analysis
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, animal models of disease and data analysis strong publication record in peer-reviewed journals demonstrated ability to independently design and execute experiments proven track record of generating high
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required: PhD in Bioinformatics, Data Science, Immunology, or a related field. Strong expertise in data analysis, bioinformatics pipelines, and statistical methods. Experience with single-cell multi-omics
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dataset analysis to develop novel approaches to understanding impacts on fish life history of urbanised seascapes and consider impact and restoration trajectories. The project will involve significant
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Postdoctoral Research Associate in Global Environment Modelling of Soil Organic and Inorganic Carbon
, including parameter calibration and validation, sensitivity analysis and others present project updates, overviews, and formal presentations of research activities and outputs prepare peer-review papers as a
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interventions). They will also assist in research project administration and reporting, data analysis, and actively contribute to research outputs and grant applications. Key skills required: (Level A) PhD in