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of dissolved organic matter (DOM) to Arctic lakes has increased, as well as the influx of glacial dust, containing rare earth elements (REE). These inputs change lake ecosystems, and may directly and indirectly
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integrating GIS-based spatial analysis with energy demand and supply assessments of other subprojects within EmPowerED, this PhD project will support the development of Positive Energy Districts (PEDs) in
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Science/Artificial Intelligence with demonstrable interest in quantitative analysis of physical/chemical data. You have experience or affinity with analysing industrial process data. You have experience
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the Climate Action, Measurement, Data and Analysis (CAMDA) and Achieving High Integrity Voluntary Climate Action (ACHIEVE) projects to ensure methodological rigour and maximise policy impact. Where to apply
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designs of AI systems should be assessed during the design phase. Data flow diagrams are already used in NOLAI, and capture all the processing, storing and transmission of data: elements in
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religious context to the societal debate and contribute to the analysis and solution of major societal challenges. The faculty has over 180 staff, organized in eight academic departments and four support
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. Data flow diagrams are already used in NOLAI, and capture all the processing, storing and transmission of data: elements in the environmental impact of IT systems. You can extend these data flow diagrams
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the fields of culture and politics and will specifically conduct a comparative analysis of the music associated with Extinction Rebellion Nederland and the Dutch farmers’ protests, representing two opposing
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analysis of the music associated with Extinction Rebellion Nederland and the Dutch farmers’ protests, representing two opposing sides of the political spectrum. As a PhD candidate, you will conduct
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challenges of our time, exploring concepts, belief systems and worldviews. In this way they provide philosophical and religious context to the societal debate and contribute to the analysis and solution