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, physical modelling, geographic information system (GIS), and analytical modelling, applied to urban planning and design case studies. The design system and tools can be applied to different scales
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performance database, a searchable resource accessible to the public. Use digital research methods and Geographic Information System (GIS) methods to produce story maps and visualise historical information
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, climate science, atmospheric science, GIS, geography, etc. - Prior experience/knowledge of the following models, software/programming languages will be preferred: - Machine learning - Rainfall nowcasting
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in some of the following areas: civil engineering, climate science, hydrological and water resources management, GIS, geography, etc. • Prior experience/knowledge of the following models, software
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: • Preferably having relevant research/industry experience with competent knowledge in some of the following areas: civil engineering, climate science, hydrological and water resources management, GIS, geography
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scripting languages (e.g. R or Python) would be advantageous • High proficiency in Geographic Information Systems (GIS) skill is needed, and relevant experience in environmental modelling (e.g. thermal
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of gastrointestinal cancers - specifically through the use of multi-omic approaches, by integrating molecular biomarkers, clinical risk factors, and gut microbiome, to predict the risk of deveoping GI cancers and