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postdoctoral researcher with: A PhD (or near completion) in Computer Science, Computational Biology, Mathematics, Bioinformatics, or a related discipline. Proven expertise in machine learning and algorithm
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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
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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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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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of recruiting talent aligned to these values. We are looking for a Postdoctoral Research Fellow who has: a PhD (or in near completion) in the relevant fields of Artificial Intelligence, Machine Learning, HCI
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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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, and a PhD research program with over 120 students. 40 academic staff conduct experimental research in many areas of Psychology, including behavioural and cognitive neuroscience, perception, learning
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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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largest schools, with a rapidly expanding teaching and research portfolio. The school is at the forefront of emerging fields, including Artificial Intelligence, Machine Learning, Quantum Technologies
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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