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Field
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in addition to English. We welcome candidates who have experience with HSI/MSIs and/or who speak Spanish, Vietnamese, American Sign Language, Chinese (Cantonese, Mandarin and other variations), Arabic
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measurements of air–sea exchange in the context of pilot-scale mCDR interventions and explore the role of equilibration timescales in MRV. They will characterize the effect of air-sea exchanges on carbonate
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PalaeoGradPhan. Both projects focus on the relationship between ocean circulation and surface ocean properties, and use numerical models to understand what we can and cannot infer from imperfect observational data
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to lead an investigation exploring the ability of recently developed global earth system models to simulate coastal sea level across sub-annual timescales. This work will leverage a suite of coupled models
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capturing the impact of storm events and seasonal variations. Field work to collect information on soil properties, sedimentation rates, and vegetation densities for selected cascading waterways. Establish
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(UNravel SWOT SSH in an internal tide hotspot south of New Caledonia), funded by CNES. The project is hosted at LOPS within the Ocean Scale Interactions (OSI) team and led by Clément Vic, in collaboration
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or public health practice related to water, climate, or natural hazards Familiarity with research focused on at-risk or disproportionately affected populations, or geographic and socioeconomic variation in
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learning methods. Develop deep learning architectures (e.g., variational autoencoders, graph neural networks, transformers) for cross-omics data representation and feature extraction. Apply multi-view
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genome assembly, comparative and population genomics, and the analysis of recombination patterns and structural variation. Depending on the candidate’s interests and expertise, there will also be
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role in developing and applying advanced AI foundation models to decode cellular architecture and understand how genetic variation shapes cellular phenotypes and complex human traits. The role will