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for climate and urban sustainability applications. Conduct research on urban climate processes, including urban heat island effects, boundary layer dynamics, air pollution, and building energy consumption
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, and be highly proficient in Python, Large-Language Models and Natural Language Processing. Qualifications • PhD in Computer Science, especially in the context of NLP. • Coding
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validation, sensor comparison, and site-level urban heat assessment. Microclimate Data Processing and Quality Assurance: · Process and organise datasets collected from stationary, mobile weather stations
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, safety, and economic impacts of airport capacity interventions and sustainable aviation measures. Process, integrate, visualise, and validate flight trajectory, operational, weather, and other relevant
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data from SBS Transit bus networks. • Process and integrate high-resolution satellite LST imagery with multi-source urban morphology and sensor data to construct spatiotemporal graphs for model
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Ph.D. (or have a Ph.D. conferred within 6 months of the appointment commencing) in Macroecology, Seed Dispersal Ecology, Ecological Modelling, or related field. Application procedure: Applicants
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framework to find the optimal operation strategy Conduct computer programming to verify the efficiency of the designed solution algorithms Analyze data acquired from the field survey Develop machine learning
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of Genomic Data into Cultivation Processes, Multi-Location Trial Evaluations, Project Management of External Collaborations, and Scientific Communications and Publications.
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, extracting and processing data from institutional databases from institutional databases, and ensuring that analyses are accurate and timely. Manage impact assessment projects from start to finish
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of membrane modules for gas separation applications. - Fabricate hollow fiber membranes via spinning processes for gas separation. - Scale up hollow fiber membrane and module fabrication from laboratory