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or regional planning Experience or strong interest in nature-based solutions in urban environments Good command of GIS software and geospatial modelling software (e.g., R, InVEST) Strong record of publications
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and Python in GIS analyses. Strong background in GIS and spatial programming. Strong background in environmental science (preferably with a focus in hydrology or watershed science). Experience with
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global physical geographical attribute datasets of relevance to river sediment dynamics (e.g. DEMs, precipitation, land use/cover, reservoirs, population dynamics etc.) using GIS and bespoke code
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the Earth Sciences to apply. Applicants with specialisation in any of tectonics, geomorphology, hydrology, engineering geology, geophysics, geodesy, and/or risk are strongly encouraged. Programming and GIS
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and GIS skills are essential, and experience working with statistical and/or physics-based models of crustal or surface processes is preferred. Candidates should have a PhD by the time of applying
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network analysis, and GIS. Experience with quasi-experimental and causal inference methods. Advanced proficiency in Stata (preferred) or R, and ability to work with large complex data sets. Equipment
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residents and GI fellows (Grand Rounds or Journal Club) and monthly sessions required by the KUMC Office of International Programs. As appropriate, review publication-ready manuscripts for the Kansas Journal
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@canterbury.ac.nz). Mōu | Who You Are You will have a PhD in wildfire spread and impact simulation, traffic/evacuation modelling or a related discipline. Strong modelling with preferably GIS experience required
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, History, Tourism, Anthropology or Sociology. They must also have: Knowledge of GIS technology; Survey skills; Knowledge of English, both oral and written; Knowledge of photography; Communication skills
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neighborhood variables collected using both survey-based and GIS-derived methods and their implications for analyses. • Collaborate with team members across disciplines, fostering a productive and inclusive