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post-doctoral researcher will be involved in theoretical and/or numerical modelling of complex quantum systems inspired by neuromorphic computing principles, with applications in quantum information
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, artificial intelligence, network and communication, virtual reality, statistics, data science, computational and applied mathematics, AI for science, AI in healthcare, AI for drug discovery and design etc
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(LCF), sourced from locally available biomass, present a viable alternative to fossil resources and are a key focus of the European Green Deal. However, their effective use is complex and demands
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locally available biomass, present a viable alternative to fossil resources and are a key focus of the European Green Deal. However, their effective use is complex and demands the combined expertise
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locally available biomass, present a viable alternative to fossil resources and are a key focus of the European Green Deal. However, their effective use is complex and demands the combined expertise
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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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, 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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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