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requirements Development of data analysis frameworks. Plan, supervise and perform (if necessary) the development of supervised and unsupervised machine learning tools to process information from various data
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and TCNs, for safety assessment and accident prediction. Process and analyse multi-source traffic data for model training and validation. Publish technical findings in top-tier journals. Job
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degree in Mechanical Engineering, Biomedical Engineering, Materials Science, Physics, Electrical Engineering, Robotics, or a closely related field. Strong research background in microrobotics, micro
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Description: Job Description About ENgAGE: The Centre for Environment and Ageing Well (ENgAGE) is committed to advancing knowledge and practices to enhance environments that foster the physical, psychological
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collection process for quantitative (e.g. experiments, surveys) studies Analyze data for various projects using tools such as SPSS, R, and/or Microsoft Excel Draft conference and journal submissions based
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. Job Requirements: PhD in Physics, Chemistry, Biomedical Engineering or related disciplines with at least 5 years of relevant research experience. Proficient in various modalities, including confocal and
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would be an advantage. Able to work independently and collaborate with team members. Application Process To apply for this position, please combine the following documents in 1 PDF and attach it under
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.) Familiarity with AI-based perception, robotic systems, sensing technologies, or physics-informed modelling for infrastructure monitoring. Good English written and oral communication skills (for publications
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. This project aims to use design technology to automate the design process and potentially complement experts' designs, in order to improve the rationale and efficiency of our design. The research fellow is
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-scale multi-physics numerical simulations, e.g. simulation of thermal environment, urban greenery, airflow movement at the city, district and neighbourhood scales; • Coordinate, prepare and present