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the tertiary education sector; (d) possess advanced skills in large-scale data management and analysis, with proficiency in Microsoft Excel (e.g., advanced formulas, pivot tables, data visualisation) and other
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sustainable service for the cultural and creative sectors as well as for the community at large. Professor / Associate Professor / Assistant Professor in Sculpture (23241186) The Academy now invites
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intelligence and machine learning in mental health, big data analytics, and pharmacoepidemiology. Applicants who adopt multidisciplinary approaches to address key challenges in psychiatry and mental health
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applying cutting-edge computational and quantitative methods in social sciences, such as artificial intelligence (AI) and big data. The candidate should have a proven ability to work on cross-disciplinary
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to address challenges in public health, global health, One Health and Planetary health and those with experience in the use of advanced epidemiologic and/or experimental approaches or the use of big data
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limited to: biomedical science and engineering veterinary science computer science and data science neuroscience and neural engineering bio-statistics and AI-healthcare smart/semi-conductor
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, such as artificial intelligence (AI) and big data. The candidate should have a proven ability to work on cross-disciplinary social science topics and a strong interest in exploring AI, society, and social
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least eight years of solid and relevant post-qualification experience at a supervisory level, preferably gained from large organisations; (c) great adaptability and a strong sense of ownership in
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pursues interdisciplinary research that integrates core domains of linguistics with computational methods such as artificial intelligence and big data analytics, seeking to generate outcomes with
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or Computer Science, Artificial Intelligence and Data Analytics, Language/Education Technologies, Digital Humanities, or a related discipline, with at least three years of relevant experience; (b) demonstrate a