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Field
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Models, Generative AI, Federated and Decentralized Learning, Neurosymbolic and Hybrid AI, Self-Supervised and Few-Shot Learning – and their integration into wireless communications and edge computing
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opportunity to combine advanced remote sensing and 3D data with ecological theory to deepen the understanding of the role of tree architecture in forest ecosystem vitality. About the position Global warming has
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cutting-edge multi-omics at bulk, single-cell and spatial scales with computational analyses to investigate transcriptome, epigenome and chromatin architecture. Combine multi-omics with flow cytometry and
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, including architecture, computational design, computer science, or related fields, who have a proven track record of applying advanced computational methods to real-world environmental challenges. A doctoral
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candidates from all backgrounds to join our community. Postdoctoral Researcher in Computational Design for Climate-Adaptive Urbanism School of Arts, Design and Architecture – Department of Architecture