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30th September 2026 Languages English English Norsk Nynorsk English PhD Research Fellow in climate data analysis and machine learning emulation of hydrological models Apply for this job See
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mechanisms, forecasting performance, return period, and multi‑sectoral impacts using high‑resolution meteorological data, satellite imagery, and climate models. It evaluates both natural drivers (El Niño
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, artificial intelligence, and predictive modelling, CCEH develops evidence-based solutions to support climate risk assessment, disaster preparedness, adaptation planning, and more climate-resilient communities
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logging into their existing Workday employee account. Position Summary: The Postdoctoral Fellow will conduct coupled physical-biogeochemical modeling to understand harmful algal blooms (HABs) in subtropical
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individually, make a real difference. The role We are looking for an enthusiastic and highly motivated researcher to join an EPSRC-funded UKRI-Norway project on Energy Micropile Retrofits for Climate Change
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prediction of regional climate and extremes using hybrid physics-AI models. About the project/work tasks There is a growing need for subseasonal-to-seasonal (S2S; 2 weeks to 12 months) predictions of regional
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Biotechnology and Bioprocesses, Membrane Technology, Chemicals and Materials, Resource Recovery, and Modelling & Artificial Intelligence. By harnessing its cross-cutting, interdisciplinary, and transformative
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), funded by the Wellcome Trust and conducted in collaboration with an interdisciplinary team at Fiocruz in Brazil. They will be expected to contribute to the development and application of climate modelling
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) gradient is a key component of global climate variability, yet climate models consistently fail to reproduce the historical gradient trend. This discrepancy affects climate sensitivity estimates and regional
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: The position will support the development of environmental health early warning systems and predictive models for climate-sensitive hazards and their impacts on human health. The role will contribute to research