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— systems. It targets pioneering an architecture optimized for bilateral sensor processing. By fusing multiple data streams, VEST-CHIP aims to improve health tracking accuracy and unlock capabilities such as
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national and international projects. About the opportunity Lead project field data science related to quantifying water security and biodiversity. Deliver outreach and adoption that translate research onto
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The Division of Banking & Finance at Nanyang Business School seeks a Research Fellow to support data-driven and AI-enabled research in investments and financial markets. The Research Fellow will be
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that delivers real-time, hyperlocal information on urban heat risks in tropical cities. Leveraging Doppler lidar–based microclimate studies and machine learning, the research emphasizes vulnerable groups
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5, with a particular emphasis on empirical analysis, AI-enabled data construction, and policy-relevant research outputs. Duties and Responsibilities: Design, develop, and execute empirical research
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information/data from one structure can be used to manage similar structures from the same population. New machine learning, sensing and digital twin technologies will be developed with the aim of driving new
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, GenAI models act as probabilistic black boxes, often producing plausible but factually incorrect information without source attribution. This poses unacceptable risks particularly in high-stakes domains
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-throughput synthesis, automation, and data-driven approaches. Key Responsibilities: Design and execute high-throughput synthesis workflows for solid-state materials, including intermetallics, chalcogenides
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at shulan.qiu@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package will be offered. Consideration of applications will commence on 2 April 2026 until
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of chronic diseases using wastewater-based epidemiology. This will involve integrating evidence from systematic reviews, epidemiological studies, and wastewater-derived data to build comprehensive, predictive