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: Design and implement AI/ML pipelines for multi-omics data integration, including supervised and unsupervised learning methods. Develop deep learning architectures (e.g., variational autoencoders, graph
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learning methods. Develop deep learning architectures (e.g., variational autoencoders, graph neural networks, transformers) for cross-omics data representation and feature extraction. Apply multi-view
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to microclimatic variations induced by local vegetation. The researcher will contribute to the analysis of vegetation–climate–technology interactions to optimize energy yield in environments subject to climatic
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organic matter, erosion and deposition in the ocean, play an essential role in the regulation of climate at the geological time scale. As a consequence, protection and better management of forests is
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of the continent precipitation), surface roughness and aerosols emission. At longer timescales, forests, via the formation of soil organic matter, erosion and deposition in the ocean, play an essential role in