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Field
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September 2025 at 11.00pm AEST (R-54017).
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written and verbal communication skills, experience with developing and implementing Bayesian statistical models, and be proficient in computer programming in e.g. R or Python, and C/C++. Please ensure you
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excellent knowledge of advanced statistical methods and experience in analysing large-scale datasets, as well as solid practical experience in the use of STATA, R or a similar software package, and good
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of Survey Methodology. You will also have excellent knowledge of advanced statistical methods and experience in analysing large-scale datasets, as well as solid practical experience in the use of STATA, R
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, at 11.00pm AEST (R-53955).
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their potential. The selection panel considers both potential and performance relative to opportunities when assessing suitability for the role. Applications close on Monday 1 September 2025, at 11.00pm AEST (R
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) Proficiency with tools such as Pix4D, QGIS/ArcGIS, and R or Python Strong writing skills and a track record of peer-reviewed publication Excellent oral and written communication skills in English Interest
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learning and advanced statistical modeling * Proficient programming skills in Python and/or R, experience with machine learning and omics analysis libraries (e.g., scikit-learn, TensorFlow/PyTorch
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on July 29, 2025:https://forms.office.com/r/695ZQxJt9G --- Applicants Must: Demonstrate: academic excellence and leadership in the research domain, high potential for success in their chosen fields, strong
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using programming languages such as Python or R. Communication and Organisational Skills: Excellent problem-solving skills, with the ability to plan, prioritise, and manage multiple tasks efficiently