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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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qualifications or research experience a record of publications, conference papers and/or reports sound analytical skills with an ability to communicate complex information familiarity in the use of R (or other
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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 Monday 19th January at 11.00pm AEST (R-58004). Please note that
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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).