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exhibits strong spatial and temporal nonlocality. This PhD project aims to address these limitations by developing a novel theoretical framework based on the exact electron factorization. In this approach
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down submarine canyons; incorporate these mechanisms into an existing computer model for sediment flux through submarine canyons; and validate the model on monitored submarine canyons. The responsibility
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spatial scales into a crop modelling framework and predicting daily targets for photosynthesis and transpiration rates (all developed by other researchers in the project consortium). Based on these targets
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PhD: Imagination infrastructures and the ‘boring power’ of techniques Faculty: Faculty of Geosciences Department: Department of Human Geography and Spatial Planning Hours per week: 36 to 40
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will work with researchers in environmental geo-spatial AI method development, soil modelling and spatial statistics. Where to apply Website https://www.academictransfer.com/en/jobs/362722/phd-position
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Department of Spatial Economics The Econometrics and Data Science department aims at pushing the academic frontier in methodology development for quantitative, statistical modeling of data, ranging
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to schematize and parameterize the subsurface at local to regional scales to assess dike safety using geological and geohydrological data and models, for characteristic fluvial landscapes in the Netherlands. UU
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is rising and empirical evidence is growing. Yet, we still lack systematic ex-ante and ex-post quantitative assessments of adaptation effectiveness and limits across various scales (temporal, spatial
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stock changes towards higher Tier levels according to the IPCC guidelines and contribute to the further development of spatially explicit approaches, models and monitoring tools for land-use categories
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optimal ways to schematize and parameterize the subsurface at local to regional scales to assess dike safety using geological and geohydrological data and models, for characteristic fluvial landscapes in