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membership is an EMBL Partnership Programme established in 2010, entitled ‘EMBL Australia Partner Laboratory Network’ (PLN). The partnership aims to seed a dynamic, highly collaborative culture across
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intelligence, cyber security, human centered computing, enterprise systems, software systems, and computer science education. The team is committed to promote high-quality research activities in these areas
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experienced Postdoctoral Research Fellow B to undertake research in the field of physics-informed neural networks for magnetic sensing. This project combines the strengths of industry and academia to leverage
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PhD students working on related projects within the partnership. Outputs will include: Research publications in high-quality journals and conferences. Innovative AI solutions and prototypes addressing
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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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focused on understanding and countering harmful narratives and, mis/disinformation, and applying social network analysis. To be successful you will need: PhD in a relevant discipline such as computer
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-to-day meeting routine with the group leader to update on the progresses made in the development of these software tools. Qualifications: PhD in Quantum Physics, good knowledge in the Physics
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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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. They will ideally have some experience of using open-source software packages and a track record of delivery on project-based work. To be successful at Level B you will need: Demonstrated expertise and