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research databases (including REDCap) demonstrated high-level proficiency in R (or equivalent statistical coding environment) for analysis of large, complex datasets demonstrated experience working with
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; conduct literature searches using relevant databases, apply IEQ modelling and simulation approaches, and analyse data drawing upon statistical methods; coordinate, incorporate and communicate research
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will hold demonstrated experience in epidemiological methodologies and data analytics. Your skills will include critical appraisal of epidemiological evidence, and statistical analysis to evaluate large
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 days ago
-driven Earth science. The successful candidate will develop independent and collaborative research that integrates large-scale geodynamic and plate-reconstruction modelling with advanced statistical and
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recipients and adults aged over 65 · lead and contribute to the development of study protocols, ethics applications, data collection methodologies, and statistical analysis plans for clinical
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, within the Discipline of Psychiatry & Mental Health. The role provides advanced statistical expertise to support epidemiological research across CHeBA-led consortia and collaborative projects, with a focus
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a world-class team of mathematicians Base Salary Level A/B $109,301 - $151,328 + 17% superannuation About the opportunity The School of Mathematics and Statistics is one of the largest mathematical
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, validation, and linkage to other datasets proficiency in R for complex statistical analysis, data curation, multivariable regression modelling, and development of analytic workflows experience using REDCap
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research, especially in neurorehabilitation or neurological conditions. Briefly describe a project you have led in which you used statistical analysis, qualitative methods or conducted a systematic review
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impact assessment of soil borne diseases on the Australian Grains Industry. Your responsibilities will include but are not limited to: Developing code and using statistical software to manage and analyse