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between multiple robots, contacts with manipulated objects, or other environmental effects. In conventional approaches, these interactions are typically described using highly simplified analytical models
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around the modelling protocol: diagnostic checks of scenario submissions against the protocol, and documentation of harmonized assumptions and remaining differences across models Contribute to / develop
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-rich and functionally diverse leys and on understanding how different plant species and functional groups contribute to forage production under contrasting environmental and management conditions. The
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high-quality experimental datasets using laboratory flume facility. Developing and validating hydrodynamic models to simulate the effect of vegetation in different environmental conditions. Designing and
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and resource-efficient Swedish energy system, the PhD candidate will first develop a module for the existing TIMES-Sweden model, and thereafter, apply the model to analyse different feedstocks, biofuel
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, including satellite-derived soil moisture and environmental observations, in-situ measurements and land-surface model simulations. Data assimilation and related multi-source data integration techniques will
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environmental variables, and large-scale AI-derived geospatial representations. Investigating approaches for combining information across different spatial resolutions, temporal scales, and data modalities
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belowground water use and root-zone water dynamics? Can mechanistic models be used to predict how different tree-based farming systems influence water stress and water availability under future climates? For
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depths and water sources? Can aboveground tree morphology be used to predict belowground water use and root-zone water dynamics? Can mechanistic models be used to predict how different tree-based farming
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, physical and human processes operating across very different spatial and temporal scales. Climate change will alter not only environmental conditions but also habitat configurations, population dynamics