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Actuarial Sciences (ISBA) of the UCLouvain is seeking a talented post-doctoral researcher to join us to develop methods for learning extremal dependence based on X-vines, with special attention for aspects
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engineeringEducation LevelPhD or equivalent Skills/Qualifications •PhD in physics, materials science, nanotechnology, or a related discipline •Strong background in low-temperature physics, transport measurements, 2D
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