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biology, with both wet/dry lab backgrounds, to establish protocols and computational pipelines to exploit RNA modifications as disease biomarkers for early cancer diagnosis, and prognosis. EURECA network
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to the TEMPREAD project, investigating the spatiotemporal and structural dynamics of reading networks using advanced neuroimaging methods. The position offers interdisciplinary training in behavioral, functional
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decile. Researchers from our institute have shown their participation in national and international scientific networks, with more than 81% of the total number of papers published in collaboration (81.3
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computational modeling to explore how different abstractions of network dynamics shape biological complexity and adaptability. The lab was created in 2025, when Dr. R. Gonzalo Parra started as a Ramón y Cajal
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, it seems necessary to approach the processes of post-conflict urban reconstruction from a new perspective. Therefore, it is hoped to build a spatial reconstruction method based on complexity and apply
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-scalar integration or AI applied to biomedicine. Expert knowledge of causal analysis methods, biological network modelling, machine learning and deep learning. Experience in collaborative environments with
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(Tree-MENDOUS) Principal Investigators: Mariano Perales (mariano.perales@upm.es ) & Daniel Conde (daniel.conde@upm.es ) Summary of the project: Spatiotemporal analysis of gene networks to unravel
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well as on the creation of both national and international collaboration networks. In addition, it will play a crucial role in the development and updating of INNOFAB's operations and business model, with a special focus