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an employer contribution of 17% superannuation. 24 Months Fixed-term contract | Part-time or Full-time opportunity. The Australian Plant Phenomics Network (APPN) was established in 2009 under the Australian
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PhD in Computer Science, Engineering or other Machine Learning-related field. • Programming experience in python, C++ or other relevant language and experience in deep neural networks • Strong
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sector. Opportunity to strengthen the professional network within the sustainability, AI, and building sectors. Eligibility: The PhD student must be: within the first 18 months of their candidature
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responsible for the delivery of high-calibre farming systems research, based on a network of already established field trials to evaluate how crop rotation/sequence, time of sowing and nitrogen management
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decision-making. You will play a key role in both supporting and leading the delivery of farming systems research, based on a network of already established field trials to evaluate how crop rotation
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and MALDI/ESI, and lignin composition using TDA/GCMS. The postdoc will work closely with teams developing engineered plants to develop a deeper understanding of cell wall architecture. This is expected
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of software innovations to support the conduct of systematic reviews and ability to work with software development teams Demonstrated skills and experience in teaching evidence-based healthcare, systematic
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within the organisation. Plant Synthetic Biology Australia (PSBA) consists of a network of national facilities with nodes at Adelaide University, Australian National University, La Trobe University and
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of a network of national facilities with nodes at Adelaide University, Australian National University, La Trobe University and University of Western Australia. PSBA provides plant synthetic biology
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adopt a community of practice for facility operations. Plant Synthetic Biology Australia (PSBA) consists of a network of national facilities with nodes at Adelaide University, Australian National