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data/text mining, database management, business process management, prescriptive analytics, analytical decision-making, machine learning, information systems/technology, R and/or Python Programming, and
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in any literary genre, but the candidate should be comfortable teaching and advising students on texts from both the nineteenth century and the twentieth century. The candidate should have a robust
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care, social issues, text, and social media, and faculty members have developed key methodologies in data mining, social-network analysis and mathematical optimization. The department is also
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Western Australian School of Mines (WASM) Course type Undergraduate Citizenship Australian Citizen Australian Permanent Resident New Zealand Citizen Permanent Humanitarian Visa Scholarship base Need Based
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—such as (but not limited to) stylometry, text mining, network analysis, or digital manuscript collation—this research aims to uncover patterns of textual variation, intertextual connections, and the broader
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Faculty of Health Sciences Faculty of Humanities Faculty of Science & Engineering Science courses Engineering courses Western Australian School of Mines (WASM) Course type Pathways to undergraduate
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Familiarity with topic modeling, semantic modeling, or other text mining approaches Experience working with large-scale genomic datasets (e.g., UKBB, FinnGen) Knowledge of in vitro safety assays and
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to academic leadership. Renowned for his work in Big Data and healthcare innovation, Dr. Madigan has authored over 200 publications covering topics such as Bayesian statistics, text mining, and probabilistic
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warehouses, clinical trial management systems, biorepository systems), database research, data integration, data modeling, data mining/statistics, data visualization, text mining, knowledge representation