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about plant science and agricultural research, join the Australian Plant Phenomics Network (APPN) as our next Business Manager in our Adelaide Node. The Faculty of Sciences, Engineering and Technology
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fundamental and demand-driven research on modelling and analysis of complex social networks. This line of research is broadly focused on modelling, analysis and estimation of complex network models in
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people’s benefit and enjoyment now and into the future. They are an authority on the state’s environment and natural resources, helping community, industry, and government make good long-term decisions
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global outreach with networks in the public and private sectors. The Technical Officer role provides high quality technical support and advice to students, academic and research staff, with a particular
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Job no:517608 Work type:Fixed term - Full-time Campus:Adelaide Categories:Information and Communications Technology, HEO6, Faculty of Sciences, Engineering and Technology HEO6) $92,511 - $99,929 per
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to an exciting research project on social network analysis and online influence. This position will collaborate with industry partners and academics within the Adelaide Data Science Centre. To be successful you
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Matlab, Python, C++ or other relevant language and experience in deep neural networks. Experience and demonstrable expert knowledge in one or more or the following areas: deep learning; graph neural
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through to completion and review Demonstrated experience in developing and expanding networks and creating mutually beneficial business relationships. Excellent interpersonal skills, both written and oral
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Canada, the USA, the UK, or New Zealand. Proficiency in Python, MATLAB, or C++, and demonstrated experience in deep neural networks and mathematical optimisation, are essential. A commitment to equity
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that theory into functional applications. To be successful you will need: Knowledge of commercial programming language and environment (i.e. Java, .NET, C++) Competence in a data science programming language