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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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, 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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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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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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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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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 13 hours 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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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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to: Developing code and using statistical software to manage and analyse data Contributing to the drafting and dissemination of research results through seminars, workshops and conferences. Publishing/exhibiting
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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
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experience in using statistical and mathematical tools to analyse and interpret soil data, spatial modelling, multivariate statistics and/or machine learning, and relevant coding languages (e.g. R, Python