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experience using Python machine learning and large language models. Experience in machine learning and NLP for automated misinformation detection, social media data scraping and analysis, and human annotation
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of venomous arachnids Experience with handling and HPLC fractionation of animal venoms Skilled in culture of mammalian cell lines Skilled in automated patch-clamp electrophysiology (experience with the Sophion
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. Experience using high-performance computing resources and automated data pipelines. Strong publication record and ability to communicate scientific results effectively. Capacity for collaborative work in
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for microbial analysis. You'll have the opportunity to work with cutting-edge mass spectrometry technology, develop semi-automated workflows, and collaborate with leading researchers across multiple Australian
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Design Controls is preferred. At Level B, candidates will have demonstrated experience in applying Medical Device Design Controls. Demonstrated effective collaboration and strong communication skills
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to better target control measures proactively before damage occurs. Provide operational knowledge of where and when other non-target native and non-native species use mature and establishing plantations
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. Strong programming skills in C++, Java or Rust. Experience with repository management, software packaging, source code control environments and practices, particularly GitHub. Experience working with
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collaborating with industry partners on a project aimed at developing kinetic Monte Carlo simulations to model epitaxial growth processes. The goal is to control and optimise the growth of nanoscale structures
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packaging, source code control environments and practices, particularly GitHub. Experience working with scientific research teams, promoting diversity and inclusivity. Position description: PD [Research
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to childhood, adolescent and young adult cancer control and health services implementation. Demonstrated knowledge of statistical packages with experience in the collection, analysis and reporting on data from