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Field
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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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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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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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Infrastructure? No Offer Description Area of research: PHD Thesis Job description:PhD Position – Analysis of Integrated Power, Gas and Hydrogen Systems At the Institute of Climate and Energy Research – Energy
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or heterogeneous environmental datasets Familiarity with spatial analysis, GIS, or geospatial data workflows. Experience with machine learning, modelling, or systems analysis approaches Interest in resilience
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fields and control systems. In addition to this, simulations of electron spins and subsequent data analysis are also an important aspect of our work. Wide-field quantum microscopy of exotic materials High
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propagation solely through spatial structures, we develop THz time-varying photonic systems based on subwavelength waveguides, where ultrafast excitations modify the optical properties of a material on the
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for extreme weather conditions (heat and rain), urban greening for biodiversity, or electrification to decarbonise housing and industry. In addition to conventional qualitative methods such as document analysis
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fields; • experience with large datasets, spatial and environmental analysis, and field work will be viewed favourably; • proficiency in R or similar scripting languages for data cleaning, analysis and
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We hereby invite applications for one or more PhD position focusing on the development and application of hyperspectral imaging technologies for bulk forensic evidence analysis. The project aims