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interdisciplinary training in theoretical language models, clinical approaches, AI methods (e.g., NLP), and neuroimaging, with opportunities to participate in network-wide events and international training activities
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from physical constraints and evolutionary pressures, across multiple scales — from proteins to regulatory networks. The group combines principles from statistical physics, systems biology, and
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journals of the first 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
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certification within the scope of the aforementioned project, and carrying out the following tasks: Analysing the requirements and designing the AI-based software platform for the optimisation of energy
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Design and synthesis of functional nanoparticles (luminescent, magnetic, ferroelectric, etc.) Development of sustainable routes to obtain multifunctional materials with dispersed nanoparticle networks
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part of an international network of 13 research labs located throughout Europe who work on the EU funded HUM.AI.N-ACCENT project. The full consortium count with a total of 24 academic and non-academic
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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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Description Grant/funding reference: PID2022-137099NB-C42 Job title: COMMUNICATION, CODING AND PROCESSING TECHNOLOGIES FOR NEXT-GENERATION QUANTUM CLASSICAL NETWORKS (MADDIE) Research line: INFORMATION SYSTEMS
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and advanced computational approaches, with a strong focus on metabolomics and artificial intelligence. The PhD candidate will: Conduct research as defined in the project’s research plan. Contribute
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person with collaborators and contribute with international experience to enrich the network of collaborators of the group. Requirements for candidates: Essential: Ph.D with postdoctoral experience in