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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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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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network layers of communication systems and Geomatics. CTTC received the “HR Excellence in Research” award in 2015 from the European Commission and successfully passed into the Award Renewal phase in 2023
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of the candidate’s profile: 35% Additional comments OTM-R. The ICP endorses the principles of the European Charter for Researchers and Code of Conduct for the Recruitment of Researchers that define the EU Human