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collection, data wrangling, big data analytics, and the application of artificial intelligence and machine learning techniques. The role is focused on data and analytics related to development applications
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healthcare, finance, environmental monitoring, and beyond. While recent advancements in foundation models have shown tremendous success in NLP and computer vision, the unique characteristics of time series
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using financial and computer systems, including spreadsheets, databases and enterprise finance platforms. You communicate clearly and professionally, demonstrate initiative, and are committed
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that utilises our award-winning design system, GEM, showcasing the fantastic variety of learning opportunities and research initiatives that Macquarie University offers. Please note that this is NOT a technical
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. This involves supporting the supervision of students during rural clinical placements, facilitating interprofessional learning opportunities during student placements, and enhancing support and education to both
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they bond in materials, but also develop transferable skills in scientific computing, data analysis and visualisation. "Machine learning for atomic-scale structure determination in thick nanostructures" (with
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Rugged, field-proven connectivity solutions Chimera Land OBDII Odometer Air Data Unit Poseidon Kinematica Industries Defense Military-grade navigation in GPS denied or contested environments Tactical
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 17 hours ago
part of future clinical research using big data, machine learning, and LLMs; make contributions to omics of data in clinical research; and work with technology innovations and applications in
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MML for well-behaved models, and has been successfully applied to diverse problems including hypothesis testing, clustering, and machine learning. Aim 1: Theoretical Investigation of MML Properties
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and basic optimization techniques are essential. Students with backgrounds in Data Science, Applied Statistics, Machine Learning, Statistical Computing, Industrial Engineering, or Reliability