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Field
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of mRNA or expression libraries lead in vivo studies, including delivery, tissue collection, phenotyping, and downstream analysis integrate and analyse multimodal datasets using Python or R to inform
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. • be located at the agreed project location(s) and, if required, comply with the university’s external enrolment procedures. Selection criteria Skillset: Proficient in Python, machine learning, and
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financial planning context. Proficient in Power BI and SQL with a strong working knowledge of tools and platforms such as Alteryx, Python, R, Snowflake, and AWS. Experience performing complex analysis across
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-qualified data science professionals to apply for this role. About you You have strong experience in Python and/or R, Unix/Linux, version control, and engineering scalable, production‑ready data pipelines
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technology for high-throughput plant phenotyping. Advanced technical capabilities in using Python and other programming languages and to handle large data sets. Strong technical capabilities in CAD software
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experience applying these methods to real-world systems and technologies. Familiarity with software tools such as SimaPro, OpenLCA, Aspen Plus, MATLAB/Python, and data visualisation platforms. Demonstrated
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friction and increasing engineering efficiency and visibility. Strong knowledge of Python, shell scripting, and REST API integration is required for automating security services. Extensive experience in
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of mRNA or expression libraries lead in vivo studies, including delivery, tissue collection, phenotyping, and downstream analysis integrate and analyse multimodal datasets using Python or R to inform
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. Required knowledge Strong background in machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch
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experiments motion control and data acquisition machine Learning coding using Python writing using Latex. Sponsorship / work rights for Australia Visa Sponsorship is available Pre-employment checks Your