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of future urban living environments. This broadened futures approach will expand evidence-based spatial modelling through the creation of experiences that connect possible alternative futures to the present
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energy system modelling is critical for reducing emissions, enhancing resilience, and integrating high shares of renewable energy sources. Such modelling provides essential tools for designing low-carbon
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through our Terms of Employment Options Model. In this way, we encourage our employees to continue to invest in their growth. For more information, please visit Working at Utrecht University external link
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techniques to create predictive models that guide sustainable product design; publish research outcomes through datasets, scientific software, and academic publications; collaborate with researchers in food
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in mathematics and good analytical skills. Have good communication and writing skills in English, a positive attitude, and an interest in collaborating with fellow PhD students, postdocs, and PIs
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with fellow PhD students, postdocs, and PIs. We offer you, following the Collective Labour Agreement for Dutch Universities A salary of € 2,901 gross per month in the first year, up to a maximum of
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you like to contribute to an increased understanding of carbon cycle feedbacks in the climate system? Do you thrive in the dynamic blend of seagoing fieldwork, laboratory experiments and modelling? As a
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, bibliographies, cartography, and remote sensing data, and analysing these in comparison with newly collected field data. Producing databases, reports, drawings, maps, and digital models of landscapes and
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references A curriculum vitae Copies of MA diploma and list of grades Copy of MA thesis If available, a copy of an article, book chapter or other academic text that you feel best represents your work Contact
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or showing willingness to learn machine learning models Having interest in stakeholder engagement Desired knowledge of Nature-based Solutions, especially in agriculture and developing country contexts