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UWA School of Agriculture and Environment Join a renowned research team solving weed control challenges in Australian broadacre grain crops. Full-time appointment on a fixed term basis for 5 years
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contribution of 17% superannuation applies. Fixed term position for 24 Months. Postdoc opportunity - Open for Applications Until Filled We are seeking a dynamic and motivated Postdoctoral Fellow in Ecological
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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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Australian National University | Canberra, Australian Capital Territory | Australia | about 1 month ago
of threatened parrot species. The role will include ecological and wildlife surveys, and the candidate must be capable and willing to undertake intensive tree-climbing surveys for endangered birds. The Postdoc
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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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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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Postdoctoral Research Fellow to join School of Chemistry and Physics, Faculty of Science. We are looking for a motivated postdoc with a strong experimental background in chemistry and materials to develop stable
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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