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to this project, including one at G2Elab. The experimental results will be obtained on models defined jointly with VALEO. Progress meetings will enable the postdoctoral researcher to follow a large-scale project
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The Faculty of Science and Engineering (FSE) provides teaching and research across a wide range of disciplines, from physics and biology to artificial intelligence, mechanical engineering, and pharmacy. In close collaboration with partners from industry, healthcare, and society, we contribute to...
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for career development in environmental science. For further information on this project and details of how to apply to it please visit https://centa.ac.uk/studentship/2026-b15-a-multi-scale-quantitative
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the use of hierarchical graph neural networks for modeling multi-scale urban energy systems. By combining advances in Physics-Informed Machine Learning (PIML) and Graph Neural Networks (GNNs) with real
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the use of hierarchical graph neural networks for modeling multi-scale urban energy systems. By combining advances in Physics-Informed Machine Learning (PIML) and Graph Neural Networks (GNNs) with real
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of multi-scale composites using graphene/nanoparticles reinforcement in glass/carbon epoxy composites to increase the delamination resistance. Graphene/nanoparticles, due to its nano dimension, can reinforce
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increasing ice-free habitats. Expected outcomes include: 1. automated classification workflows for identifying lichen assemblages from multi-scale remote-sensing data; 2. high-resolution vegetation maps of key
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/her studies); Conference Grants (each PhD student can use up to PLN 12,000 to attend conferences during his/her studies); Surcharge for the multi sport card; Support in obtaining a temporary residence
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foundations. Candidates should possess an exceptional academic record and a strong mathematical background. Experience conducting large-scale computational experiments (e.g., multi-GPU systems) is advantageous
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: development of automated workflows for multi-omics data generation. In this project you will integrate small-scale automated bioreactors with workflows for the generation of high-quality multi-omics data