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Field
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or water-related systems. • Strong proficiency in Python and relevant libraries for data analysis and modelling (e.g., TensorFlow, Keras, Scikit-learn, Pandas); knowledge of R would be an asset
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projects-tracking misinformation, analyzing climate change data, and building machine learning models-before advancing into GIS (Geographic Information Systems), network analysis, and responsible technology
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of future research proposals. Skills, Experience & Qualifications Needed PhD in an appropriate subject area (awarded or submitted). Proficiency in Python for scientific computing, including basic scientific
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programming, working closely with the GIS Research Fellow and interdisciplinary project team members to create a user-friendly, scalable decision-support tool for planners and policymakers. As part of
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and maintain Python and R codebase for transit routing and GIS operation automation. · Generate and write grant proposals with Dr. Liu on various topics. · Work with undergraduate and graduate students
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the following areas: Data analysis and programming, e.g. Python, R GIS and spatial analysis Data visualisation Language Requirements: Applicants must demonstrate at least B2-level proficiency in the language of
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Systems (GIS) and related fields, with added expertise in ecosystem services assessment, ecological engineering, social sciences, policy making, environmental science, and/or urban environmental issues
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, GIS/GeoAI, UAV applications, and resilient infrastructure planning. The candidate with experience translating cutting-edge research (e.g., AI) into operational decision-support systems for agencies and
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degree in a quantitative or computational field and have strong Python skills. Experience with AI or NLP methods, including LLMs cloud platforms, containerisation, APIs, relational databases and data
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fault traces visually in the remote images and topographic data and reproduces these traces as hand-drawn lines in a Geographic Information System (GIS) environment. These environments allow fault