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of the interactions between glaciers and oceans, with a focus on the European Arctic. Please read this interview for more details on Pedro’s work: https://ic3.uit.no/news/msca-physical-biochemical-modeling Within
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numerical models, kept on track with satellite data using ensemble data assimilation methods. But ocean forecasting research is also adopting ML gradually, slower due to the lack of ocean observations
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, magmatism, and fluid-rock interactions in PHHSs control the uptake and/or release of H, C, and S. Focus is directed towards the controls of PHHS fluid properties in the deep lithospheric roots of oceanic core
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team to lead the storm surge modelling in the Singapore Sea. As a specialist in wave modelling software, the successful candidate will work on cutting-edge projects related to coastal and ocean wave
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modelling tools that cover the entire Arctic Ocean, and extensive international research collaboration. As part of Arctic Ocean 2050, you will join an ambitious research environment with high societal
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sociopolitical drivers, and modelling tools that cover the entire Arctic Ocean, and extensive international research collaboration. As part of Arctic Ocean 2050, you will join an ambitious research environment
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) investigate how ecosystems on the ocean floor react to environmental changes and (iv) develop scenarios for a “warmer world” from climate archives on the ocean floor with the help of climate models. Further
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welcomed. The collected datasets will be used to calibrate numerical models that simulate future changes in sediment budgets from climate and coastal development scenarios and to support resilient coastal
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application can be considered even if you have not defended. Strong background in hydrodynamic modelling and water quality modelling Experience with numerical modelling tools for coastal or ocean systems
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candidate with a background in aquatic sciences, environmental chemistry, biogeochemistry, or a closely related field, with experience in field measurements, modelling, or both. Special emphasis