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demanding real-world geometries and to build specialist expertise in high order mesh generation, geometric modelling and CAD to CAE integration. These capabilities are of growing importance to industry yet
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more cost-efficient. Together, UESL and IMOS are seeking a motivated and qualified PhD candidate to advance the use of hierarchical graph neural networks for modeling multi-scale urban energy systems. By
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consumption and turnaround time, placing increasing pressure on sustainability targets. Understanding how geometric changes influence the flow, thermal or structural response remains a major challenge, and
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primary research aim will be to explore how the geometry of data can help build better uncertainty-quantifying models, particularly for complex data types like molecules and images. However, other research
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Inria, the French national research institute for the digital sciences | Toulouse, Midi Pyrenees | France | about 2 months ago
(Bordeaux) and half at Airbus (Toulouse). Safer and cheaper aircrafts require new concepts, and increasingly complex geometrical, physical, and numerical modeling. These new models must integrate multi
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. L. (2021). An energy conservative hp-method for Liouville’s equation of geometrical optics. Journal of Scientific Computing, 89, [27]. https://doi.org/10.1007/s10915-021-01612-x Where to apply Website
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geometric urban coastline. Natural Hazards and Earth System Sciences, 13(11), 3049–3061. https://doi.org/10.5194/nhess-13-3049-2013 Stockdon, H. F., Holman, R. A., Howd, P. A., & Sallenger, A. H., Jr. (2006
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skills in programming and strong experience in computational geometric modelling. Expertise in the field of Additive Manufacturing, Construction Robotics, and/or Artificial Intelligence is very beneficial
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., VAEs, GANs, diffusion models) or graph/equivariant neural networks for materials (e.g., CGCNN, SchNet, NequIP), and related tooling (e.g., PyTorch Geometric, pymatgen, ASE) is beneficial but not required
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networks are built on the same geometric foundation, namely Euclidean geometry. This choice however leads to fundamental limitations that cannot be overcome with bigger models and larger datasets. A critical