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photogrammetry. Demonstrated proficiency in basic analytical (e.g., Image J) and statistical software (e.g., R or Matlab) and statistical analysis. Solution-focused, and proven ability to contribute to a high
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applied research to support the sustainable management of freshwater ecosystems. We require a quantitative ecologist with skills/experience in statistical and quantitative modelling. The successful
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Innovations Group seeks a forward‑thinking expert in statistical machine learning to translate complex biological datasets into actionable AI‑driven insights. You will enhance genomic selection and breeding
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statistical and quantitative modelling. The successful candidate will contribute to projects on flow-ecology relationships and habitat suitability modelling for freshwater organisms and will be comfortable
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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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. They should be proficient in data analysis and statistics, with experience in handling complex biological datasets, and confident in scientific writing and publication. A strong capacity for independent
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and statistical analyses of quantitative data. Mentor and supervise MSc and PhD candidates and contribute to HDR review panels. Establish and maintain research collaborations with NHMRC Partnership
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molecular biology; Strong quantitative experience using modern statistical tools for data analysis and visualization; Strong written and verbal communication skills, with a proven track record of leading peer
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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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scientific collaboration. Mathematics and statistics drive breakthroughs in technology and data science, while physics and astronomy seek to understand matter and the Universe - everything from quarks