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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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activity, oxygen storage capacity), in collaboration with machine learning experts to build predictive models. Producing well-characterized nanoparticle batches for external testing and catalytic
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, AN/sucrose and KNO₃/HTPB. The resulting datasets will be used to calibrate and validate multiscale, multiphysics constitutive models, linking microstructure to ignition sensitivity, detonation dynamics, and
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management in hydrogen fuel cell- and electric battery-powered vehicles. Developing a functional software prototype simulating the physical behaviour of the energy management system. Implementing an IoT-AI
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. This project will explore the connections between bacterial chemoperception, metabolic adaptation, and virulence regulation in two model phytopathogens: Pseudomonas syringae pv. tomato DC3000 (PsPto), the causal
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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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Scientific Computing and Modelling (Spanish MECES level 3 or EQF level 7) or any other official Master’s degree with equivalent content. Please note that you must use the University of Alicante's standard CV