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in resistance management. Recording, managing and analysing data using established data science methodologies (FAIR, coding workflows, version control). Preparing publications, reports and conference
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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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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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(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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quantitative and analytical skills, with confidence using spreadsheets and/or coding for analysis Experience with process modelling and TEA tools (e.g., SuperPro, discounted-cash-flow modelling, bioprocess
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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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analysis. Adhere to UQ’s Code of Conduct, OH&S and safe handling requirements. About UQ As part of the UQ community, you will have the opportunity to work alongside the brightest minds, who have joined us
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experimental tasks using Gorilla or other programs that can be used for online tasks. Align with and actively demonstrate the Code of Conduct and Values. Cooperate with all health and safety policies and
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Fellow, you will: Conduct qualitative and quantitative data analysis, including qualitative coding, mixed-methods analysis, and/or network mapping as appropriate. Manage and ensure the ethical handling and
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the Code of Conduct and Values. Cooperate with all health and safety policies and procedures of the university and take all reasonable care to ensure that your actions or omissions do not impact on