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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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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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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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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
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up to a further 0.5 FTE clinical appointment with the Northern Adelaide Local Health Network (NALHN). The successful applicant will be provided with two separate employment contracts. The successful
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develop innovative software that supports world-class agricultural research? Join the Australian Plant Phenomics Network (APPN) and make a real difference in sustainable agriculture across Australia. Help
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Job no:517448 Work type:Fixed term - Full-time Campus:Adelaide Categories:Information and Communications Technology, HEO7, Faculty of Sciences, Engineering and Technology (HEO7) $101,785 - $113,839
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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