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properties and processes, as well as how soil functions are affected by changes in environmental conditions, including climate change. Through research, environmental analysis and education, we contribute
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Biotechnology and Bioprocesses, Membrane Technology, Chemicals and Materials, Resource Recovery, and Modeling & Artificial Intelligence. By harnessing its cross-cutting, interdisciplinary, and transformative
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science, environmental engineering, and public health to tackle the region’s most pressing climate–health challenges through cutting-edge research, advanced modelling, and interdisciplinary collaboration
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the appointment beginning in August 2026. The future development of DAS-NTU focuses on integrating observation, modeling, theory, and AI to holistically advance the understanding of severe/extreme weather, earth
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comfort throughout the year in a Nordic climate? Is it possible to predict dynamic outdoor thermal comfort with sufficient accuracy using fast parametric algorithms and machine learning (ML) models instead
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modelling to study how physical parameters and microclimate of the playground impact on children’s thermal comfort and to evaluate the potential impact of different climate change scenarios on the thermal
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between biodiversity and climate change. The postdoctoral position is embedded in the the collaborative project Past to Future: towards fully paleo-informed future climate projections (P2F; https
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technologies Use of multi-fidelity aggregation techniques and adaptive refinement strategies (to reduce the uncertainties of the climate models) Uncertainty quantification and propagation up to the global
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for different atmospheric layers. Definition of suitable interfaces to process data for the climate models. Expected Results: Ability to assess the influence of demise process on the release of emissions
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, modeling and Remote-sensing to Transform carbon budgets, CLARiTy’ (https://www.schmidtsciences.org/vicc/) will reduce the persistently high land flux uncertainties in GCB by an order of magnitude. To achieve