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physical ocean processes using high-performance computing, numerical models, satellite observations, and large-scale environmental datasets. In recent years, the group has expanded its work on
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optimization methods such as reduced-precision quantization, pruning and sparsity, KV-cache compression, and approximate computing change the security and reliability properties of Transformer-based
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dissipation, but dissipation is poorly constrained in coastal seas. This PhD will develop and test methods to estimate whitecapping dissipation from SAR, wave spectra, and other in situ data, to build
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modelling, using contemporary teaching methods and educational technology; organising academic teaching and curriculum development, and taking responsibility for their quality within the field
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to apply Website https://candidate.recrur.com/public/jobad/EN/c13cb387-3 Requirements Research Field Psychological sciences Education Level PhD or equivalent Research Field Environmental science