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to support sustainable offshore energy development and maritime spatial planning. This PhD position is embedded in the NWO-ORC project NO-REGRETS, coordinated by Royal Netherlands Institute for Sea Research
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trace element distributions at high spatial resolution. The resulting data will be integrated into thermodynamic models (e.g. FACTSage-based approaches) to support process optimisation and control in
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Section of the Department of Human Geography and Spatial Planning, with close collaboration with the Innovation Studies Section at the Copernicus Institute of Sustainable Development. Both groups
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to increasing traffic loads and environmental effects, efficient methods for monitoring their condition become essential. Traditional inspection approaches can be costly, time-consuming, and limited in spatial
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. Traditional inspection approaches can be costly, time-consuming, and limited in spatial and temporal coverage. This PhD project addresses these challenges by developing innovative methods to assess railway
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nanoscience, materials research, semiconductor manufacturing, and the life sciences. Despite its wide applications and accessibility, the highest spatial resolution is still obtained through transmission
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resistance emerge through different spatial, temporal, and stratigraphic scales, and how these processes can be understood in relation to the geologies, materialities, and power relations through which
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environment. Supported by the grant from the Dobberke Foundation, we will uncover the neural mechanisms underlying this fundamental ability, using the highly social fish Neolamprologus pulcher as a model system