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health monitoring, preferably with a publication record in top-tier journals; and (c) be proficient in mainstream research frameworks for deep learning and computer vision. Applicants are invited
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randomized controlled trial”. He/She will contribute to a range of innovative projects utilising gerontechnology to address the needs of older adults experiencing frailty-related conditions such as sarcopenia
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implementation; b) monitor the project implementation details; c) develop control algorithms and digital twin models; d) guide prototype development and laboratory testing; e) analyse test data and
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progress deviation monitoring system (ACPDM) based on mobile mapping system”. He/She will be required to: (a) participate in the design, development and maintenance of BIM software or plugins; (b
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the research projects - “Monitoring and predicting slope instability in forested terrain from multi-mode remote sensing data” and “Resilience of rural infrastructure and communities to climate change
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monitoring; and (c) collaborate with interdisciplinary teams to achieve research objectives. Qualifications Applicants for the Postdoctoral Fellow post should have a doctoral degree or an equivalent