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Field
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environmental challenges? Join the Department of Physical Geography at Utrecht University as a PhD candidate and help shape the next generation of geospatial modelling. Your job Predicting ecosystem dynamics
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and Planning division. SMoG is an internationally oriented research group investigating how urban form influences urban life through rigorous spatial analysis and empirically validated models. Its long
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to open-source releases Your profile - PhD in Meteorology, Physics, Computer Science, Environmental Sciences, or a related field - Experience with atmospheric models and geostatistical interpolation methods
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valuable for producing reliable climate projections, whether certain weather systems are fundamentally harder to model with machine learning than others, and whether we can develop emulators that can be
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hierarchical models, particularly small area estimation or geospatial models. Experience working with US survey, census, vital registration, and other data sources. Working Conditions Weekend and evening work
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in non-parametric, 3D environment modelling. We will assess the utility of these tools for map-building using magnetometer data as well as exploring the potential for existing geospatial maps to enable
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the large-scale genetic data being generated by the program, and produce interpretable and accessible outputs for broad audiences including program epidemiologists, modellers, and partner countries and
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conducting quantitative data analysis related to hydrologic systems, including statistics, time-series analysis, geospatial analysis, or model calibration and validation Experience using scientific programming
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with semantic information and collaborate with PhD candidates on the selection, parsing, and representation of questions. You will also help with the modelling and validation of workflows. You are
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of participatory models based on the integration of qualitative and quantitative spatially-referenced data for the co-design and evaluation of nature-based solutions.” Where to apply Website https