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Classification Title Data Systems Manager II Working Title Data Management & Analytics Manager Brief Position Overview Montana State University is entering a period of ambitious change in its use of data, and
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Are you an ambitious researcher looking for your next challenge? Do you have a background in operations research, optimisation, or analytical modelling for decision support? Do you want to further
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, cohort comparisons, reliability/validity indicators, learning outcomes mapping analytics). o Support continuous quality improvement (CQI) by identifying data signals, quantifying impact of curricular
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and ML development Cloud & Data Platforms Experience or interest in Azure and Databricks for analytics and ML workloads Machine Learning & MLOps Concepts Feature engineering, feature stores, CI/CD
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EEE to support research and development for AiBBLe, an AI-enabled brain-based learning platform, with emphasis on AI for learning, intelligent educational systems, human-centred AI, multimodal analytics
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Overview: RMIT Vietnam is seeking a Senior Manager, Data Governance & Analytics to lead how data is governed, trusted, and leveraged across the University. This is a high-impact role for a senior
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 3 hours ago
to the fields of data science, data analytics, statistics, machine learning, bioinformatics, or quantitative biology. To be considered to be appointed at Academic Level B, candidates should provide evidence of
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Scientist II to design, develop, and deploy data science and machine learning solutions and assist in the implementation of data engineering infrastructure for public health analytics, including the Rapid
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; Master's Degree in data science, statistics, bioinformatics, analytics, or similar field. Job Description: Data Acquisition, Integration & Management Acquire, link, and manage large-scale datasets (e.g
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road safety analytics framework. The role involves integrating multi-source transport datasets, developing advanced analytical and machine learning models for risk identification, and supporting