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involving Fluid Dynamics. Demonstrable affinity with studying the physics of the ocean and preferably with polar oceanography. Experience with numerical modelling. Excellent ability to communicate in both
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mass balance of the northern Greenland Ice Sheet. You will combine airborne observations, satellite remote sensing, and regional climate modelling to understand how changes in sea ice thickness, mobility
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to build a microscopic-to-global understanding of ice formation, plume processes and ocean–surface transport. Their combined efforts will generate new laboratory data, physical models and spectroscopic tools
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of the North Sea maritime infrastructure through AI-enabled, human-centered, and data-driven cyber-physical threat intelligence. This large interdisciplinary project builds on insights from network
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canyons connect the continents to the deep ocean. These canyons are the conduits for transport of land-derived materials to the ocean floor in avalanche-like events called turbidity currents. Turbidity
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assisting in the bachelor’s and master’s degrees programmes of the department at Utrecht University. Where to apply Website https://www.academictransfer.com/en/jobs/356431/phd-position-on-land-ocean-inte
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Infrastructure? No Offer Description Join our ERC SPHINX Team to model how climate risks ripple through housing markets. Help uncover when homes become stranded assets and fuel systemic impacts. Help shaping
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-resilient policies! Background: Globally, climate change already manifests via physical risks – damages from floods, storms, wildfires, heatwaves, droughts, and sea-level rise. Concerns are rising
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Join our ERC SPHINX Team to model how climate risks ripple through housing markets. Help uncover when homes become stranded assets and fuel systemic impacts. Help shaping climate resilient policies
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you a highly motivated and enthusiastic individual with a strong background in process-based modelling