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computing skills, including Linux and specialist bioinformatics software. Experience of genome analysis, preferably with plant genomes. Knowledge and experience of pangenomics or machine learning applications
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of genome analysis, preferably with plant genomes. Knowledge and experience of pangenomics or machine learning applications is desirable. Position description: PD - Research Associate - School of Biological
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sensory odorant analysis Data science including bioinformatics and/or machine learning Demonstrated ability to work constructively with practitioners in the Australian water and resource industries
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of information systems, and mitigating information-related harms. The successful candidate will have a background in information science, information systems, information retrieval, or human-computer interaction
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management, bonds, case studies in finance, financial modelling, and machine learning in finance. Teaching opportunities are also available in the state-of-the-art RMIT Trading Facility, where students learn
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technologies on economic systems, the economics of AI), behavioural economics, game theory, microeconomics, time series analysis, big data, and machine learning. Proficiency in statistical software such as R and
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systems, and mitigating information-related harms. The successful candidate will have a background in information science, information systems, information retrieval, or human-computer interaction, with a
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Linux and specialist bioinformatics software. Experience of genome analysis, preferably with plant genomes. Knowledge and experience of pangenomics or machine learning applications is desirable. Position
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quality outlets. Demonstrated ability to coordinate and teach large courses in a range of electronic, embedded systems and computer engineering areas; and prepare and deliver programs at undergraduate and
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including substantial record of research outputs in high quality outlets. Demonstrated ability to coordinate and teach large courses in a range of electronic, embedded systems and computer engineering areas