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their best work. THIS ROLE IS LOCATED IN SYDNEY, AUSTRALIA. The School of Mathematics and Statistics currently has more than ninety continuing academic staff and more than thirty research staff as
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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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leadership in the conceptualisation, design, and analysis plans for competitive grant applications. Lead the development of robust study designs, sample size calculations, and statistical methodologies
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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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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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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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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 1 day 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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; 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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to Research Committee members. Where suitable, supervise HDR candidates. What we’re looking for: Demonstrated expertise or qualification in statistics and quantitative research methodologies. Strong record
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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