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with data analysis/modelling and programming (R or Python). Advantageous: geostatistics, digital soil mapping, remote sensing, GIS, big data or cloud tools. Proactive working style, strong communication
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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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industry-standard frameworks to gather project requirements, write and test software, and generate technical documents. This primary software application includes GIS-based visualizations and extensive
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programming (R or Python). Advantageous: geostatistics, digital soil mapping, remote sensing, GIS, big data or cloud tools. Proactive working style, strong communication skills, and excellent English. Relevant
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and erosion processes. Skills in GIS, spatial analysis of large scale data, modelling, remote sensing, and programming (R or Python) are desirable. You work independently, communicate effectively
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computational field and have strong Python skills. Experience with AI or NLP methods, including LLMs cloud platforms, containerisation, APIs, relational databases and data pipelines is essential. Skills in
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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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field preferred. •Experience with GIS-based programming (Python, Arcade), and application development experience in web/desktop environment (e.g., R, JavaScript, Python, CSS, and Tableau); and vector
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, Python, etc.), and working knowledge of data management protocols. Experience with exposome or environmental data, multiomics integration, and exposure-wide association studies (ExWAS) and GIS preferred
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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