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the preparation of grant applications, abstracts and progress reports. Perform data collection, entry, analysis and reporting. Align with and actively demonstrate the Code of Conduct and Values. Cooperate with all
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environments High proficiency in writing code for data analysis (e.g. using R / Python) and using relevant software Demonstrated capability of writing for publication in high-impact academic journals Excellent
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to support translational outcomes and shared priorities perform quantitative and qualitative data collection, coding, analysis and interpretation, and contribute to the production of high‑quality peer‑reviewed
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funding Knowledge on a coding language (Phyton, etc) The successful candidate may be required to complete a number of pre-employment checks, including: right to work in Australia, conduct concerning gender
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and optimise code and digital-twinning platforms with industry partners, produce high-quality research outputs and reports, contribute to funding applications, and deliver training workshops and
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citizenship behaviours align with the ARC-IFC’s Code of Conduct and UQ values. Build and maintain strong relationships with Indigenous communities and ARC-IFC’s community partners and other end-users
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(e.g., LabArchives, BioRender). Desirable Demonstrated experience in fermentation control, optimisation and scale-up. Experience in the use of electronic lab books Experience in coding languages (Python
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results. High levels of personal integrity, transparency and capability. Experience in crop model coding is desirable. Experience in statistical analysis and data visualisation (e.g. R, Python) is desirable
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reliable – can manage competing priorities, maintain well-structured code and documentation, and meet project timelines. Curiosity and initiative – motivated to learn new methods, improve workflows, and
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) and effective scientific communication proficiency in one or more coding languages (e.g., Python, R, Matlab, or equivalent) strong interpersonal skills and the ability to work collaboratively within a