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Field
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. Essential qualifications and experience a PhD (or near completion) in one of the following fields (or a closely related discipline): Computer Science, Artificial Intelligence, or Machine Learning Economics or
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-in, and performance or creativity degradation in socio-technical decision processes design and implement quantitative methods (for example, learning-based, network-based, or agent-based approaches
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understanding of the tertiary education environment an understanding of the graduate labour market in Australia and internationally competent computer literacy, including Word, Excel, PowerPoint, Outlook and
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testing would be an advantage) Rodent optical neuroscience procedures and data management (i.e. fiber photometry) Automated/semi-automated machine learning analyses of rodent behavioural data (e.g
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workload management skills with demonstrated ability to prioritise effectively, manage multiple tasks, meet deadlines, and achieve required outcomes superior computer skills, including database maintenance
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., multispectral imaging) and computational tools such as machine learning or AI into research workflows. Strong project management skills, including planning, milestone delivery, and working with industry partners
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This project aims to employ advanced machine learning techniques to analyse text, audio, images, and videos for signs of harmful behaviour. Natural language processing algorithms are utilized
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to interact professionally with participants, team members, and external stakeholders attention to detail and accuracy in data collection, entry, and management competence in basic computer applications (e.g
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 1 day ago
numerical seismology, data processing, computer programming, and fieldwork are encouraged to apply. The position working with Dr Caroline Eakin will focus on research in observational seismology, with the aim
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you will lead the squad, a team of engineers and specialists responsible for end-to-end AI-driven applications — from intuitive front-end experiences to robust back-end systems integrating Machine