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ability, including coding (e.g., ‘R’) and solid understanding of underlying theory of contemporary modelling approaches demonstrated technical experience in marine biodiversity assessment and implementation
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at seminars and/or scientific meetings Strong written and oral communication skills Advanced computing skills including in programming in R You will bring your strong research expertise to a multi-disciplinary
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, QAQC procedures and data analysis experience with ‘R’ programming language excellent fish identification skills fish dissection experience, including otolith analysis analysis of video data from marine
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relative to opportunities when assessing suitability for the role. Applications close Wednesday 27th August 2025, at 11.00pm AEST (R-52736). Please note that interviews have been tentatively scheduled
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September 2025 at 11.00pm AEST (R-54815). Please note that interviews have been tentatively scheduled for the week commencing Monday 29 September.
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(R-54066). #LI-DNI
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suitability for the role. Applications close Sunday 31st August 2025 at 11.00pm AEST (R-53825). Please note that interviews have been tentatively scheduled for Thursday 11th September 2025.
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. Applications close Wednesday 13 August 2025 at 11.00pm AEST (R-54340). #LI-DNI
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data, spatial modelling, multivariate statistics and/or machine learning, and relevant coding languages (e.g. R, Python), including a sound understanding of FAIR data principles, data management and
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, data management, data analysis, and reporting. Experience using statistical/programming tools or packages, such as SPSS, Stata and/or R. Excellent interpersonal skills and proven ability to establish