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qualified and, if so, for which of the two models. The assessed applicants will have the opportunity to comment on their assessment. You can read about the recruitment process at https://employment.ku.dk
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of manufactured parts, particularly in terms of geometrical accuracy, microstructural control, and mechanical performance. This PhD project aims to develop a Multiphysics model and simulation to gain in-depth
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) matrix architecture are influenced by the mechanical and geometric properties of their environment. These computational models can provide crucial mechanistic insights into the key parameters governing
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? We urgently need breakthrough research in: recyclable & durable materials fast, data-driven surrogate models lifecycle-conscious design to reduce costs, increase reliability, and accelerate the North
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, public authorities in their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? You will develop a multi
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, artificial intelligence, and its applications to large scale data domains in science and industry. This includes the development of deep generative models, methods for approximate inference, probabilistic
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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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candidate to work on challenges related to superconducting spintronics as part of the project “Flexible Superconducting Spintronics: Geometric control of low-dissipation, long-distance information processing
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on swept wings. A range of fabrication facilities available within our laboratory can be used to produce functional prototypes. All prototypes will be characterised for their dynamic and geometrical
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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