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. The successful candidate will be able to teach one of the undergraduate courses related to data analytics, machine learning, image processing, statistical learning, large data structures and algorithms AI/ML
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project - “Dual-role host-guest interactive gaze: Resident and tourist sentiment in an interaction perspective using big data analytics”. Qualifications Applicants should have: (a) a master’s degree or a
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communication for large-scale LoRa networks”. Qualifications Applicants should have: (a) a doctoral degree or an equivalent qualification and must have no more than five years of post-qualification experience
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data and relevant factors as model inputs into modelling frameworks, by targeted literature review and secondary data analysis Perform big data-based epidemiological studies in health services and policy
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courses in Linguistics and Language Studies, and supervise student projects. The candidate will also support large-class teaching, such as course material development, course administration and marking
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, epidemiology, biostatistics, genomics, big data analytics, or artificial intelligence analytics Be familiar with conducting analysis with different types of data, including metagenomics sequencing, genomics
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image analysis skills on clinical and research MRI techniques and sequences to study patients with stroke and dementia, or at risk of these conditions, in large cohort studies as well as randomized
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Health or other related disciplines with at least 2 years of post-bachelor's work experience. Previous work experience in big data analysis, managing large databases of multiple research projects relating
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ammonia with high efficiency and on a large scale from N2-dissolved ionic liquids”. Qualifications For the post of Postdoctoral Fellow, applicants should have a doctoral degree or an equivalent
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Department of Data Science and Artificial Intelligence Research Assistant (Ref. 250324001) [Appointment period: six months] Duties The appointee will assist the project leader in the research