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. Use coding (e.g., Python, R, MATLAB, or similar) to clean, process, and analyse large MLA datasets and to generate figures, tables, and visual outputs for reports, publications, and presentations
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publications, conference papers and/or reports sound analytical skills with an ability to communicate complex information familiarity in the use of R (or other relevant language) for ecological modelling
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variant analysis will be highly regarded (e.g. bulked segregant analysis, mapping population design, whole genome sequencing, long-read sequencing) Experience with R, Python, or equivalent programming
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Reference Number: R-59207). #LI-DNI
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both potential and performance relative to opportunities when assessing suitability for the role. Applications close Sunday 11 January 2026 at 11.00pm AEST (Job Reference Number: R-58835).
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. The selection panel considers both potential and performance relative to opportunities when assessing suitability for the role. Applications close Sunday 1st February 2026 at 11.00pm AEST (R-58838). Please note
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computational biology Expertise with R, Python, or equivalent programming languages is essential. Passion for making biological discoveries relevant to crop improvement. Strong analytical skills, creativity, and
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panel considers both potential and performance relative to opportunities when assessing suitability for the role. Applications close Friday 9 January 2026 at 11.00pm AEST (R-57364).
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findings through annual reports, peer-reviewed manuscripts, and national/international conferences apply a comprehensive understanding of statistical methodologies using R, Stata, SAS, and other analytical
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both potential and performance relative to opportunities when assessing suitability for the role. Applications close Tuesday 6 January 2026 at 11:00pm AEST (R-58634). Please note that interviews have