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risk data mall. Alternatively, the unstructured text data in accident report could be mined with Natural Language Processing (NLP) techniques to validate the performance of our proposed multi-source data
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schemes. Prepare reports for submission to various stakeholders. This includes data preparation and updating (collecting, cleaning, mining, and consolidating), statistical analysis and presentation
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, data mining, artificial intelligence or databases; Proven ability to conduct independent research with a strong and relevant publication record; Prior experience in federated learning, Bayesian
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, etc.), text analytics/mining and machine learning (anomaly detection, gradient boosted decision tree, etc.). • Experience in building and optimizing data pipelines, working with different data
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: - Machine Learning and Data Mining - Clinical and Genomic Data Analysis - Multiview/multimodal Learning from heterogeneous data sources - Software development Experience in modeling heterogeneous
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, machine learning, data mining, artificial intelligence or databases; Proven ability to conduct independent research with a strong and relevant publication record; Prior experience in knowledge graphs
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and data privacy • Business Analytics • Information systems, management and organizations • Data mining and machine learning • Database and data visualisation (SQL, NoSQL, relational
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development tools and methodologies. Familiarity with machine learning, data mining, or artificial intelligence techniques is desirable. Excellent analytical and problem-solving skills, with the ability
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Job Description Data exploration: The team’s objective is to mine the project’s data to seek insights that are either 1) directly beneficial to the study of offending, rehabilitation, and
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large IT infrastructure. • Deep understanding of statistical analysis, data mining or machine learning • Practical experience in working with large structured and unstructured data set • Ability