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by combining plant performance, physiology, and functional traits Access cutting-edge field and analytical approaches while building your academic career THE ROLE An exciting opportunity for a
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related field. Demonstrated analytical skills, including proficiency with the R environment, spatial analysis and/or social research methods will be well regarded. This role offers a unique opportunity to
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. Analytical and Computational Skills: Demonstrated ability to analyse complex suspension flows, with proficiency in scientific programming (Python or MATLAB) being highly valued. Research Excellence: A strong
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achievement, including publication of research outputs in peer-reviewed journals. Demonstrated ability to work effectively within multidisciplinary and industry-engaged research environments. Strong analytical
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strong sense of community & inclusion Enjoy a career that makes a difference by collaborating & learning from the best At UNSW, we pride ourselves on being a workplace where the best people come to do
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-supervision of a PhD candidate and collaboration with researchers and project partners. Curious to learn more? Visit the GRDC website to discover more. The team Reporting to Dr Fien Degryse, Grant-Funded
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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 1 month ago
excellence in plant ecology research, strong analytical skills, and enthusiastic to contribute to innovative research. About Us The Faculty of Science and Engineering is a young and dynamic faculty driven by
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. Strong analytical skills, including experience managing large datasets, conducting statistical analyses, and using research and data management tools such as Excel, REDCap, R Studio, SPSS or STATA
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porphyry copper deposits. In this role, you will develop and apply machine-learning models to predict mineralisation using accessory minerals such as zircon and apatite, with a particular focus on
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, including collaboration with industry partners. Experience applying AI, machine learning, or advanced analytics to integrate chemical, sensory, process and experimental data to support innovation and process