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Fraser Institute Part-time (50%), fixed-term until 31/12/2026 Base salary will be in the range $82,133.76 - $91,295.50 + 17% Superannuation (HEW Level 5) Visa sponsorship is not available for this position Based at our Dutton Park location About This Opportunity Join our world-class research...
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Job Reference: 1122969 About the Role: You’ll be joining an exciting ARC-funded research project developing cutting-edge computational methods to predict and understand the organic crystal
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learning and mechanistic modelling, sensor network development, efficient data sorting and processing algorithms, real-time and model predictive control, and transformative applications in the wastewater
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breeding pipelines to enhance the accuracy and interpretability of genomic predictions. Carry out innovative, impactful research of strategic importance to CSIRO that will, where possible, lead to novel and
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and the statistical analysis of population and linked health data. Demonstrated experience in the management and analysis of large complex linked data. Experience in prediction modelling and/or causal
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and trait association (including epiGWAS and predictive modelling), generating world-first insights that could transform how breeders enhance yield and resilience in sorghum, barley and wheat. Supported
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who are being assembled to work together on tracking and predicting the future of the East Antarctic Ice Sheet. The successful candidate will bring their expertise in solid Earth modelling to help
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transcriptomics) with the aim of developing novel biomarkers and therapeutics. Specifically, you will support the major project “Predicting Early-Stage Melanoma at High Risk of Recurrence through MultiOmics
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and research profile in applied breeding innovation. The role will also have the opportunity to be affiliated with the UQ-led ARC Training Centre in Predictive Breeding. Key responsibilities will
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are being assembled to work together on tracking and predicting the future of the East Antarctic Ice Sheet. The successful candidate will bring their expertise in satellite altimetry and/or gravimetry