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outputs of a team dedicated to translating discovery into meaningful impact for people living with Friedreich Ataxia. We are seeking someone with a PhD in computer engineering, biomedical engineering
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, prepare high-quality publications, and contribute to grant development and new research protocols. This position also offers opportunities for professional engagement, collaboration across disciplines, and
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interaction energy models, Kinetic Monte Carlo simulations for crystal growth, and advanced methods for calculating elastic and thermal properties of molecular crystals. The work will involve integrating and
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analytical skills in modelling time trends and prevalence data biostatistics for clinical trials and cohort studies experience working with large, multi-wave datasets (e.g., ABS, AIHW, HILDA) reputation at a
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to: lead advanced biostatistical and econometric analyses across large and complex health datasets contribute to the team’s publications, grant applications, and scholarly outputs manage and curate data
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-phenotype-process outcomes. Apply design of experiments (DoE) and statistical modelling for process optimisation. Generate data to support regulatory and translational pathways. Deliver experiment results
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Dr Yee Lian Chew, the successful candidate will play a key role in designing and conducting experiments, analysing data, and preparing manuscripts for publication. This position is part of an ARC
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methodologies and contribute to a new data product that integrates model outputs into our platform - helping us better understand environmental exposures and health outcomes. About This Opportunity This is a
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do: Make use of satellite geodesy datasets, combined with secondary model and observational data, to make new understanding of the evolving mass and elevation of the East Antarctic Ice Sheet, with
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modelling who has: a PhD in power and energy systems, process systems engineering, industrial decarbonisation, energy economics, or a related discipline demonstrated expertise in energy systems modelling