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approximately 5-10°C warmer than the 1970-2010 average. The role will involve the generation of ecophysiological data as measurements of plant performance and generating morphological and anatomical trait data
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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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, machine learning and AI, statistical computing, big data and AI applications and prediction in biology, medicine and infectious diseases. Potential research projects include (but are not limited
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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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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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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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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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-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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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