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to transform the way environmental and social data are integrated into fisheries management by combining advanced ocean forecasting, species-specific modeling, and social science to develop adaptive strategies
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be used to emulate expensive climate model processes, such as sea-ice rheology and vertical mixing in the ocean, to deliver forecasts at lower computational cost? This project will develop surrogate
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Performing Arts, Education, Humanities, Law and The Conservatorium. The Manager, Administrative Services ensures the effective delivery of administrative services through a shared model that supports
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letter; b) Knowledge and experience numerical modelling – information provided in the CV and/or motivation letter. Additional optional skills and qualifications: a) Knowledge and experience in Python
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, based on observational datasets, reanalysis products, and numerical models. 3. Development and evaluation of efficient observation methods for the atmosphere and ocean surface. * Assigned department
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placement opportunities available; and details of our recruitment process, can be found at https://accedtp.ac.uk/, in the ‘prospective applicants’ tab. Project overview Meltwater runoff from the Greenland Ice
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, shelf-wide circulation and property budgets, and the impact of climate on the coastal ocean, among others. Applications of candidates that integrate field observations, theory, or numerical modeling
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and (iv) develop scenarios for a “warmer world” from climate archives on the ocean floor with the help of climate models. Further information about the Cluster of Excellence can be found at https
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., Menemenlis, D., Sušelj, K., and Le Fouest, V.: RADIv2, an Adaptable and Versatile Diagenetic Model for Coastal and Open-Ocean Sediments, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2025-2244 , 2025
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, Atmospheric and Oceanic Sciences, Geosciences, Computational Science and Engineering, or a related area is required.The position will involve developing models and algorithms for the evolution of inorganic