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Field
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. Analyze large-scale data and summarize findings using statistical software (SAS, Python, R, and/or similar programs). Collaborate with team to improve standardization, utility, and public health potential
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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 18 August 2025 at 11.00pm AEST (R-52772). Please
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or related discipline area. Experience and skills in coding and running analyses in R, and quantitative modelling to address scientific questions in evolution. Broad background knowledge of vertebrate
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2025 at 11.00pm AEST (R-52194). Please note that interviews have been tentatively scheduled for Friday 27th June 2025. #LI-DNI
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in Python, R, or similar programming languages; • Experience with network analysis, process mining, and time-series data analysis is a plus • Strong analytical, problem-solving, and communication
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infectious disease epidemiology Proficiency in R and Python is required; experience with C/C++, or Java is desirable Other Position Details: Start date: As early as August 1, 2025 Initial term: 1 year, with
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functional interpretation of genetic variants. Proficiency in Python, R, or other bioinformatics languages. Knowledge of cloud computing, and high-performance computing (HPC) environments. Strong ability
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skills in Python; or experience in at least one of the following: C, C++, Java, R, Matlab, and willingness to learn Python. Experience in working with epidemiological or healthcare (or similar) data
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to opportunities when assessing suitability for the role. Applications close Sunday 13 July 2025 at 11.00pm AEST (Job Reference Number: R-51987).
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include R, Python, mySQL, MATLAB and JavaScript, or other GIScience. Preferred Qualifications: Experience in developing scientific data management tools/processes to manage large volumes of data originating