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literate in computer and multimedia applications; (e) be well-organised and attentive to details; and (f) have a high level of self-motivation and strong communication, interpersonal, and
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VR-based tasks to study user cognition and creative performance; • process and analyse EEG data using advanced signal processing and machine learning techniques; • evaluate cognitive load
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VR-based tasks to study user cognition and creative performance; • process and analyse EEG data using advanced signal processing and machine learning techniques; • evaluate cognitive load
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the research project - “Systematical design and engineering towards high-performance all-perovskite tandem photovoltaics”. Qualifications Applicants should have an honours degree or an equivalent qualification
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the research project - “Internal: Research, design, and manufacture of high-performance, fast-customizable next-generation AI-driven golf balls”. Qualifications Applicants should have: (a) an honours degree
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leader in the research project - “Research, design, and manufacture of high-performance, fast-customizable next-generation AI-driven golf balls”. Qualifications Applicants should have: (a) a recognised
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Department of Computing Research Associate (Ref. 250929002) [Appointment period: six months] Duties The appointee will assist the project leader in the research project – “Towards edge-native
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the research project – “Investigating child-centric spatial computing design”. He/She will be required to: (a) design and implement design workshops/experiments with young children and/or their families; (b
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; and (e) perform any other duties as assigned by the project leader or his delegates. Qualifications Applicants for the Research Associate post should have a master’s degree in Social Sciences
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) conduct literature review; (b) assist in compiling corpus of authentic interpreting and analysing data; (c) facilitate project management; and (d) perform any other duties as assigned by