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candidate. Be part of the Australian Institute for Machine Learning – the largest computer vision and machine learning research group in Australia – and contribute to world-leading research projects
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Experience in Machine Learning OR human factors, HCI or psychology will be highly regarded. Based at our picturesque and Vibrant St Lucia Campus About UQ As part of the UQ community, you’ll have the
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literacy with a good knowledge of relevant computer programs, and ability to work across and connect these as needed. Desirable criteria – you may have (or be willing to learn) the ability to write research
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Materials (IFM), Deakin University. This project will develop solid electrolytes using combined machine learning (ML), molecular modelling, and experimental characterisation methods. We are looking
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neuromorphic devices via neuromorphic-based machine learning and simulation. Proven ability to undertake scientific research and development in research programs. Demonstrate ability to clearly communicate
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theoretical chemistry needed to map chemical problems onto quantum machines. For further information, please see our website, https://www.kassal.group , or contact Prof. Kassal. You will have access to the rich
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understanding in forecasting model, optimisation algorithm and machine learning techniques proficient skills in Matlab and Python programming, C#, .NET a proven track record through literature review, qualitative
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has: a PhD in a relevant field such as Management, Organization Studies, Urban Studies, Social Sciences, Political Sciences, Computer Sciences, or Engineering, with a strong track record (relative
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of Professor Geordie Williamson at SMRI. The successful applicant will undertake research in either modular representation theory, or the use of machine learning techniques in pure mathematics research
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. The successful candidate will work under the supervision of Professor Geordie Williamson at SMRI. The successful applicant will undertake research in either modular representation theory, or the use of machine