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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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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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-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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and complex materials challenges. HTS are strongly correlated systems with unconventional superconductivity, and their microscopic theory remains incomplete. They require doping to become
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and the transfer of results to clinical practice. Integrated into the CERCA network and linked to the Pompeu Fabra University, it is a leading figure in biomedical research in Catalonia and the rest
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the internal computations and circuits within large models. Can we reverse-engineer the "algorithms" that a neural network has learned? Value Alignment & AI Ethics: How do we formally define and embed complex
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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%). As for collaborative
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the complexities of the relationships with partner societies, including contract negotiations. Develop strong working relationships with colleagues in production, IT and other departments to ensure
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Fundacio de Recerca Clinic Barcelona-Institut d'Investigacions Biomediques August Pi i Sunyer | Spain | 2 months ago
symptoms by defective synaptic plasticity in recurrent neural networks performing complex working memory tasks Desirable criteria: Strong interest in cognitive computational neuroscience Strong background in