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conclude on December 31st 2029. The goal of this research effort is to apply machine learning (ML) techniques, in particular (equivariant) graph neural networks to accelerate the creation of all physical
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. The opportunity to work with the world-first imaging device tailored to study drift in riverine ecosystems. Access to an extensive network within the field of Ecohydraulics. Scientific independence, visibility and
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