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states and transitions, ecosystem mapping and modelling and ecological dynamics across spatiotemporal scales. A demonstrated a strong statistical background for accuracy assessment and validation
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the academic promotions process. About You Completion or near-completion of Ph.D. in Genomics, Statistical Genomics, Quantitative Genetics, Computational Biology, or a related field. Expertise with genomic data
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statistical genetics to uncover the genetic and environmental aetiology of complex traits and diseases using large-scale cohorts and datasets. Our focus spans maternal health, early-life genetics, and how
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Platform The Data Science Collaborative Research Platform provides essential expertise in bioinformatics, statistics, analytics, digital health, and applied AI. We empower Higher Degree by Research (HDR
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experiments. Programming skills in R or another language for data analysis and strong knowledge of statistical approaches in plant or biological sciences. Track record of high-quality research outputs (peer
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psychosocial risk Principal (Major) Hazard management including critical controls Collection and analysis of health and safety statistics to identify trends and underlying causes Effective Occupational Health
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climate resilience. Working within a world-class research environment, you’ll combine your skills in plant and crop physiology, modelling, phenotyping, data science, and statistics to uncover insights
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these data with multi-omics datasets to identify regulatory or metabolic bottlenecks. It involves statistical analysis and systems modelling, and close collaboration with strain engineering and bioprocess
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, and comply with all UQ and site-specific safety requirements. Compile, clean, and manage large datasets from microscopy and real-time monitoring, performing trend and statistical analyses where required
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by contributing statistical expertise to psychiatric epidemiological studies, analysing large datasets, publishing in leading journals, and advancing the Physical and Mental Health Stream’s research