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national leader in learning, teaching and research, with close affiliations to several of Australia’s finest hospitals, research institutes and health care organisations. With a strong presence at UNSW
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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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the guidance of artificial intelligence techniques. The project will develop novel design processes that embed material behaviour within agent-based and machine learning computational design systems
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. Experience of genome analysis, preferably with plant genomes. Knowledge and experience of pangenomics or machine learning applications is desirable. Position description: PD - Research Associate - School
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program evaluation processes, facilitating improvements for academic programs and implementing changes recommended by academic staff maintain databases and contact lists to enhance learning and teaching
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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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to UNSW benefits including: Additional 3 days of leave over the Christmas Period Access to lifelong learning and career development Progressive HR practices Discounts and entitlements Affordable on-campus
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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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to engage with multidisciplinary teams and external partners. Desirable attributes include experience with spatio-temporal models, machine learning, Bayesian methods, and knowledge of environmental exposure