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funding Contribute to public understanding of issues impacting families and children with complex and interconnected needs Main Duties The responsibilities may include some but not all
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execution) Key Responsibilities Extend existing quantum path integral algorithms to diffusion model settings; Formulate and prove complexity theorems for the new algorithms; Develop and test prototype quantum
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device data, medication data and adherence data. Application & interview 6 Statistical programming expertise in either Stata or R, including complex statistical models (i.e. longitudinal analysis
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. Expertise in one or more of the following areas would be an advantage: Life cycle assessment, Life cycle social assessment, Techno-economic modelling, Materials flow analysis, Energy storage or battery supply
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of innovative computational procedures and methodologies, addressing a national skills shortage and enabling timely progress on a high-impact research initiative in modern econometric modelling. The role provides
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provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from research Contribute
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Australian National University | Canberra, Australian Capital Territory | Australia | about 6 hours ago
-cell RNA-sequencing data, with a focus on mouse models of age-related macular degeneration. The successful candidate will join Associate Professor Jean Wen’s research group, conducting independent
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in statistics, machine learning, mathematical modelling, or a related field, to join our research team in the Department of Applied Health Sciences. The successful candidate will work on an NIHR funded
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quality modelling approaches to analyse the flow interactions between sewer discharge of surface runoff, as well as the dynamics of pollutants and pathogen propagations associated with water movements. The
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of fungal pathogens. The successful candidate will make extensive use of a range of in vivo models of fungal infection and will have access to the wide range of transgenic tools and in vivo immunology