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degree in a relevant discipline with a research component, or equivalent research experience. Experience in one or more of: data analysis, data visualisation, statistics, text analytics, or machine
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willingness to learn, and a genuine desire to contribute to the smooth and efficient running of the Faculty. Your ability to stay calm under pressure, maintain strong attention to detail and work
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individuals. iPSC “Village” systems and CRISPR perturbation to experimentally dissect and validate gene function in controlled, scalable cellular models. Advanced computational genomics, machine learning, and
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new approaches for a playful human-computer integration future. For more information see http://exertiongameslab.org The result will be a thesis in the field of interaction design.
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funded under the Commonwealth Department of Health’s Rural Health Multidisciplinary Training (RHMT) Program. Our focus at the BHUDRH, is to lead the design and delivery of innovative teaching and learning
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. Demonstrated (or ready ability to acquire) knowledge and understanding of applied business principles, including procurement, service product development, and customer service. High level computer literacy
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. Demonstrated experience in the analysis and interpretation of omics datasets, with strong expertise in artificial intelligence and machine learning methodologies. Proven experience in the analysis of single-cell
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. Demonstrated computer competency, including the capacity to maintain electronic patient records and clinical correspondence. Demonstrated commitment to and awareness of cross-cultural issues. Note: A current “C
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of Machine Learning (ML) models across large-scale distributed systems. Leveraging advanced AI and distributed computing strategies, this project focuses on deploying ML models on real-world distributed
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of 17% superannuation applies. Research Fellow in machine-learning enabled digital forensics Fixed term, full-time 36-month position available About the position We are seeking a Research Fellow with