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The University of Queensland, in collaboration with participants QUT, UniSQ and UniQuest. About You Completion of a PhD in cell biology, molecular biology, biotechnology, biochemical engineering, with subsequent
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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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. 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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and are coordinated and managed nationally by the TERN Office at the University of Queensland (UQ) in Brisbane. The capabilities of TERN are operated by institutions ‑ termed Operators ‑ under
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languages including Python, R and MATLAB. Demonstrated experience encoding a workflow in at least one of the above languages. Experience using high-performance computing. Strong interpersonal and
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, next generation industry professionals, state-of-the-art equipment and pilot facilities. FaBA is proudly hosted by The University of Queensland, in collaboration with participants QUT, UniSQ and UniQuest
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describing, storing, sharing and accessing research data, with a strong understanding of best-practice data management principles. Confident working with datasets using tools such as SQL, R, Python, QGIS
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languages such as Python and PHP MVC frameworks. Experience with cloud infrastructure (e.g., AWS, Azure, GCP), Linux environments, Docker, and Infrastructure as Code. Strong understanding of Agile development
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datasets. Demonstrated knowledge of and experience in applying FAIR data principles and managing metadata. Proficiency in programming languages such as Python or C++, with experience using relevant libraries
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reporting by applying knowledge of the business context. Experience using a coding language (e.g., SQL, R, Python) to extract, manipulate and combine data. Experience using various tools (e.g., Tableau, Power