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of extreme weather events and land use change on vegetation seasonality and efficiency. For this, you will develop and apply geo-artificial intelligence methods, including spatiotemporal machine learning
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Research Group Twente: The research focus of the statistics group is on the development of statistical methodology for new data applications and the theoretical analysis of machine learning methods, in
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with sand nourishment strategies; (2) including current and possible future (climatic) conditions; and (3) incorporating indicators of coastal ecosystem services, visualizations and other feedback
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science, human technology interaction, and machine learning. You will be working at the Human Media Interaction group in which computer science meets social science to investigate, design, and evaluate
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, Philosophy, Educational Sciences, and Health Sciences. Through our bachelor’s and master’s degrees, Professional Learning & Development programmes, and interdisciplinary research themes – including Emerging
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knowledge on drought resilience of individual species and communities to the landscape level and monitor the spatio-temporal patterns of drought and recovery in forests and grasslands in peri-urban landscapes
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pressurized conditions (1-10 bar) while providing optical access, e.g. via a quartz/sapphire window, to the cell. Aside from standard current-voltage and EIS measurements, the setup should facilitate IR imaging
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, Communication Sciences, Philosophy, Educational Sciences, and Health Sciences. Through our bachelor’s and master’s degrees, Professional Learning & Development programmes, and interdisciplinary research themes
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Vacancies Academic staff Support staff UT Student Jobs UT as employer UT as employer Employment conditions Career and development Pre and onboarding HR Excellence in Research Tenure Track PhD EngD
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nourishments along the Dutch coast. These will be co-designed, monitored and evaluated by the SOURCE consortium. There will be 12 PhD, Post-Doc and other researchers at 8 academic institutes in total. They will