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in the Earth's outer core, with implications for deep Earth processes [1]. A variety of inverse methods (data assimilation, machine learning, etc.) has been employed to recover the fluid motions in
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(researchers, teacher-researchers, engineers, technicians and administrative staff) and about 140 PhD students, postdocs and fixed-term contract staff. Each year, the laboratory hosts about 120 interns and
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