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Field
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management practices, evapotranspiration tools, and on-farm water decision support system tools. Experience in data analysis and familiarity with a programming language such as R, Python, or MATLAB. Experience
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. Willingness to undertake extensive field work. On a regular basis, field work might require you to stay and work for several-day periods on Pulau Ubin. Desirable Skills Experience with using GIS software (e.g
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diverse soil and management conditions - Excellent technical knowledge of nitrogen dynamics and loss pathways in crop production - Proficiency in GIS and remote sensing workflows, using tools like QGIS, R
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of ecological, coastal, and geological research as well as perform analyses with Remote Sensing (optical and lidar), Geographic Information Systems (GIS), Python, R, and/or other programming languages or image
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hydro-climate studies. Strong background with GIS tools and spatial analysis techniques. Demonstrated expertise in climate variability assessment and the use of climate models. Experience with
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using Microsoft Excel and/or programming languages such as R, Python, or MATLAB, with an emphasis on hydrological, agronomic, or environmental datasets. Familiarity with evapotranspiration estimation
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., Python, R) and GIS tools (e.g., QGIS) experience. Excellent communication skills. Strong publication record related to current position
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computational modeling, geometric morphometrics, multivariate and Bayesian statistics, spatiotemporal and spatial modeling (including GIS), causal inference, machine learning, AI, and statistical software
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statistics, data management). Comfort handling large and diverse datasets. Strong coding skills (R and/or Python), with experience using a high-performance computing platform (e.g., Digital Research Alliance
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, spatial modeling, and/or remote sensing is desirable. Proficiency in GIS, R, and/or Python for data analysis, modeling, and spatial analysis is also desirable Excellent written and verbal communication