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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 4 days ago
differential equations and their geometric and physical applications, using various approaches including, in particular, those from harmonic analysis. Further details of the proposed projects can be obtained
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 8 days ago
, those from harmonic analysis. Further details of the proposed projects can be obtained upon request to Neil.Trudinger@anu.edu.au , and PoLam.Yung@anu.edu.au . This role is based in Canberra, however
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users, researchers, and developers, both internally at the University of Sydney and externally across multiple institutions publish research papers on mathematical theory and the development and analysis
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to lead and support high-quality data analysis, contribute to manuscript preparation, and supervise Honour and Higher Degree by Research students, as well as psychiatry registrars undertaking scholarly
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development for data or model output analysis. A clear desire and capacity for developing machine learning approaches, preferably with experience in its application to ice sheet problems. Salary details
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internationally recognised TRACK-FA dataset, applying computational modelling and neuroimaging analysis to explore brain structure-function relationships and identify imaging biomarkers that could inform future
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at the University of Sydney and externally across multiple institutions publish research papers on mathematical theory and the development and analysis of algorithms compile data sets relevant to research in
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development and to conduct large-scale re-analysis of existing and emerging eDNA metabarcoding datasets obtained in Australian coastal waters. Your high-level duties will include: Conduct large-scale analysis
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to the development of Easy Read documents including Lived Experience Advisory Group meeting papers support the implementation of a data linkage study and analysis of clinical trial results contribute to research
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results. High levels of personal integrity, transparency and capability. Experience in computer coding for data analysis and visualisation (e.g. R, Python) is desirable The successful candidate may be