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Data Analytics, including but not limited to: “Data Analytics for Social Research”, “Applied Analytical Statistics for Social Scientists”, “Machine Learning with Social Data” and “Social Networks
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vision; (2) secure external competitive research grants in various funding bodies; (3) teach multiple subjects in both undergraduate-level and postgraduate-level programs in data science areas focusing
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qualification; (ii) demonstrate research skills in imaging science and machine learning, particularly on image reverse engineering, fake image and video detection, statistical detection models and mathematical
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research in the state-of-the-art areas in artificial intelligence, natural language processing, large language models, and computer vision; (2) secure external competitive research grants in various funding
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and Media Industries; Curating and Art History). The appointee will teach a wide range of subjects including animation, digital arts and immersive media, film and media studies, art history and curation
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Digital Arts; Film and Visual Arts; Creative Media Industries) and two MA programmes (Creative and Media Industries; Curating and Art History). The appointee will teach a wide range of subjects including
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tenure-track position at the rank of Associate/Assistant Professor specializing in Modern Literature. The appointee is expected to: teach relevant courses at both the undergraduate and postgraduate levels
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the area(s) specified above; (b) secure external competitive research grants in various funding bodies; (c) teach multiple subjects in postgraduate-level programmes in the area(s) specified above; (d
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include teaching and supporting the University’s educational mission. The appointee is expected to teach a variety of core and elective courses, develop new programmes, courses, teaching methods and
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education and sustainable development through immersive field visits and internships, citizen science initiatives, and Service-Learning projects. The Division of Science (DoS) invites applications