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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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. Develop a practical parametric model framework for ship and system design. iii. Carry out naval architecture calculations, i.e., stability, resistance, hydrodynamic analysis, etc. iv. Carry out ship
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of oyster reefs in the North Sea. In 2027 the real size structures will be placed on the seabed by offshore vessels. Before this, you will calculate their stability and conduct physical model tests
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by Supervisor. Job Requirements Master/PhD in Naval Architecture, Ocean Engineering, Marine Engineering, Civil Engineering, or related field. Proficiency in hydrodynamic modeling tools (e.g., ANSYS
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ecological modelling, spatial analysis, and interpretation of biological datasets. Demonstrated leadership of complex abalone field programs. Experience supervising HDR students, technical staff, and early
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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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, 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