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help to shape. The Department of Electronics-ICT in the Faculty of Applied Engineering is looking for a full-time (100%) doctoral scholarship holder in the field of dynamics of climate extreme events
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in the field of dynamics of climate extreme events. Position You will work actively on the preparation and defence of a PhD thesis focusing on the analysis of extreme events using deep learning methods
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Programme? HE Is the Job related to staff position within a Research Infrastructure? No Offer Description This PhD research aims to develop deep learning-based methods for bias correction of climate model
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for Sustainability (M4S) offers you the chance to contribute to climate change mitigation by developing novel methods for forecasting and projecting renewable energy sources, paving the way for a more sustainable
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within the research group Modelling for Sustainability (M4S) offers you the chance to contribute to climate change mitigation by developing novel methods for forecasting and projecting renewable energy
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in the field of artificial intelligence for renewable energy. This PhD opportunity within the research group Modelling for Sustainability (M4S) offers you the chance to contribute to climate change
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the two great environmental challenges of our society represented by the mitigation of soil acidification and climate change. You will work actively on the preparation and defence of a PhD thesis on the
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others for nature-based climate mitigation (through carbon sequestration) and climate adaptation (through coastal erosion prevention). Their dense vegetation protects shorelines from waves, currents and
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and climate change. You will work actively on the preparation and defence of a PhD thesis on the above subject. You will publish scientific articles related to the research project. You will carry out a
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specifically, on nature-based climate mitigation through regulation of greenhouse gas fluxes by natural and created coastal wetland ecosystems. You will work on the WETCOAST project assessing the blue carbon