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approach in the Arctic Ocean involves the artificial thickening of sea-ice to prevent total loss during the summer melt season. The PhD candidate will work closely with biogeochemical (BGC) modellers and
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, multi-source learning is used to integrate diverse patient populations to build robust models, but having to protect sensitive information. Various modern ML paradigms are proposed to address the diverse
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of Digital Twins being used to assess NBS. This project builds on the Newcastle University team’s decades of expertise in modelling the circulation of open oceans, shelf seas and estuaries. The Digital Twin
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