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Institute). The position is fixed term for 36 months and will provide opportunities to work on aircraft icing modelling and experimental campaigns. Ice crystal icing is one of the least well characterised
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of the land ice contribution to sea level rise until 2300 with machine learning. You will develop probabilistic machine learning “emulators” of multiple ice sheet and glacier models, based on large ensembles
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intelligence experts to generate new projections of the land ice contribution to sea level rise until 2300 with machine learning. You will develop probabilistic machine learning “emulators” of multiple ice sheet
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of the land ice contribution to sea level rise until 2300 with machine learning. You will develop probabilistic machine learning “emulators” of multiple ice sheet and glacier models, based on large ensembles
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climate scientists and artificial intelligence experts to generate new projections of the land ice contribution to sea level rise until 2300 with machine learning. You will develop probabilistic machine
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human activity in the region, partly due to the dramatically reducing summer sea-ice extent, increases vulnerability to high impact weather. Mitigating these risks demands better forecasts, but to make more
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deliver the first comprehensive assessment of current and future high-impact extreme weather events in Antarctica and their associated risks. Key risks include impacts of extreme weather on vulnerable ice
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of the arrival of the Europa Clipper (NASA) and Juice (ESA) missions. There is scope to improve the accuracy of these models by studying the fundamental properties of ice in a new ices laboratory. Applicants
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: Improving Monitoring, Reporting and Verification (MRV) methods and tools, though other roles will also be involved); https://palusdemos.org/ . This project focuses on the development and assessment
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and skills of the successful applicant. Access to high-performance computing facilities and cloud-based quantum hardware will be provided to support simulation and verification of theoretical methods