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, implementation and validation of unstructured parallel meshing methods, adding h/p adaptivity and geometry-conforming capabilities. This will include developing parallel mesh adaptivity algorithms
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optimization. Knowledge in algorithms for sampling/variational inference and kernel methods will also be welcome. Interest or experience in differential geometry, optimal transport, and remote sensing
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learning and one PhD student with a keen interest in the algorithmic side of hyperbolic deep learning. Tasks and responsibilities: Conduct high-impact research on hyperbolic deep learning for computer vision
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geometry altogether and operate in hyperbolic space. Our lab has published multiple papers showing that hyperbolic deep learning has strong potential for computer vision, from hyperbolic image segmentation
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construction elements. Thermoplastic composites blades, likely the blades of the future, have additional potential in that they can be thermoformed into new geometries, while also ‘healing’ the thermoplastic
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30 Sep 2025 Job Information Organisation/Company University of Amsterdam (UvA) Research Field Computer science » Informatics Computer science » Programming Mathematics » Algorithms Mathematics