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methods for provable network security. The School of Computer and Mathematical Sciences is recruiting a research fellow to work on next generation network security technologies. Join a world-class research
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-technical audiences and engage in stakeholder or end-user consultation. DESIRED CHARACTERISTICS: Demonstrated experience in models of opinion dynamics, Bayesian reasoning models, natural language processing
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Job no:516657 Work type:Fixed term - Full-time Campus:Adelaide Categories:HEO6, English Language Centre (HEO6) $89,383 - $96,550 per annum plus an employer contribution of 17% superannuation applies
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foundational AI research in Australia, focusing on areas such as natural language processing, computer vision, and machine learning. This role offers the opportunity to carry out cutting-edge research
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experience with data entry and use of databases. High level computer skills, including experience with Microsoft Office suite of products in particular, spreadsheet functions for the collection and reporting
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will be part of two closely related Australian Research Council projects (Discovery and Linkage) that are using natural history collections, environmental DNA and ecological models to reconstruct
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biology and biochemistry. Fluency in written and spoken English, with an ability to communicate scientific ideas to an expert audience. A strong work ethic, and the ability to work well independently, and
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with both academic and non-academic stakeholders. Capacity to manage research activities in coordination with Professor Cassey and the wider team of researchers at the Wildlife Crime Research Hub
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collaboration between industry, government, and academia. The Australian Institute for Machine Learning (AIML) at the University of Adelaide is the largest computer vision and machine learning research group in
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Understanding of academic journal publishing process Track record of peer review for scientific journals Excellent written and verbal communication skills in English language Ability to work effectively as part