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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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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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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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performance of the functions of this position. Desirable: A doctoral qualification in a relevant discipline (e.g. astronomy, astrophysics, physics, statistics, or computer science). Experience working with
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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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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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analytics More information can be found at https://smi.uq.edu.au/mishc About This Opportunity This is an exciting opportunity for a Professorial Research Fellow to work within the Minerals Industry Safety and
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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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expertise in physics, electrical engineering, computing, mathematics, and statistics to better understand and advance our data-driven world. As part of Curtin’s Faculty of Science and Engineering, EECMS is
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track record of developing and deploying state-of-the-art AI solutions. CHI is a research centre that drives digital health forward and shapes the future of AI in healthcare. https://www.mq.edu.au/__data