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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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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
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of Science provides fellowships for Australian postdoctoral researchers to conduct cooperative research with leading research groups in Japanese universities and other institutions. For information about
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apply? Through active involvement in these projects, you will further develop your skills in data collection, analysis, and interpretation related to toxicants, resuscitative adjuncts, and biological
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9 Mar 2026 Job Information Organisation/Company Institute of Computer Science CAS Research Field Computer science Mathematics Neurosciences Researcher Profile First Stage Researcher (R1) Application
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register data and experimental methods to assess causal effects of sentencing and programming on the reoffending, employment, education and/or family outcomes of sentenced individuals. The successful