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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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utilisation. Our faculty collaborates closely with industry on translational research and innovation with focus on addressing pertinent industry challenges to impact businesses. The Singapore Teaching and
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ABOUT THE ROLE Northumbria University invites applications for a Post-Doctoral Researcher to join the EVIDENT project (Evidence-Based Architectural Design of Emergency Departments for Greater
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, the candidate will have expertise in the design and execution of engineering experiments but also in the design and development of experimental rigs for innovative development relevant to hydrogen technologies
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on developing GaAs PICs in a project that includes everything from III-V laser epitaxy design and simulations, and fabrication, to system level PIC lidar tests and space qualification. Your role and goals You
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cytometry. Our experimental programme is designed to interface and synergise with simultaneous theoretical developments of computational models and novel methods for analysing system purposes