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implementing models that integrate ecological dynamics, species traits, phylogenetic trees, and economic discounting; ● Devising Bayesian or POMDP frameworks to handle uncertainty about species interactions
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, tipping points, and uncertainties in integrated assessment models (IAMs). You will work on improving the understanding and modelling of these processes to support robust and adaptive climate policy
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PhD position within the EMBRACER project, focusing on the role of climate feedbacks, tipping points, and uncertainties in integrated assessment models (IAMs). You will work on improving
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explore the link between weather predictions and resulting energy usage forecasts on different time scales and the impact of the uncertainty around those e.g., on sub-seasonal time scales ( Join our
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Condensation trails (“contrails”) forming in aircraft exhaust are thought to be responsible for around half of aviation’s climate impacts, but efforts to eliminate them are hampered by uncertainty
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fouling taxa in a variety of environmental conditions will help to mitigate risks and uncertainties in the offshore wind and wider renewable energy sectors and improve management of biofouling. Training and
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Programming Intelligent Modelling and Analysis Mixed Reality Lab Lab for Uncertainty in Data and Decision Making Visualisation and Computer Graphics Responsible Digital Futures The studentships available
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structure, variational structure, and symmetries, data-driven techniques to solve partial differential equations (pde) have emerged. Quantifying model uncertainty of data-based predictions is crucial
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uncertainty modelling. Brief outline of area/discipline the project relates to and its relevance today: Brief outline of area/discipline the project relates to and its relevance today: Recent advances in
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. Uncertainty quantification shall be incorporated to strengthen robustness. The development of an interactive visualisation application shall support decision making and planning. The technical insights from