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microgrids. • Develop advanced computational simulation models, ranging from the simulation of complex and representative use cases to the detailed modeling of components such as power cables, power converters
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therapeutic efficacy of the conjugates in TNBC cell models. Evaluate in vivo efficacy and safety in orthotopic murine TNBC models. Explore platform applicability to other cancers with similar intracellular
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of Water Supply Systems, through a Smart Predictive Digital Twin and integration of AI for hydraulic modelling, real-time data analysis for advanced loss detection and system optimisation, reducing energy
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the impact on the predictive quality of a given model that is expected by retraining/fine-tuning it using additional datasets, as well as on predicting the expected cost/latency of such retraining/fine-tuning
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Intelligence algorithms: deployment of advanced AI algorithms, such as convolutional neural networks (e.g., ResNet, VGG) and object detection models (e.g., YOLOv5, YOLOv8), for the automatic recognition
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to attach when applying: Curriculum Vitae, duly updated, dated, and signed; Copy of academic degree certificates. a) If the possession of a degree is a requirement for the grant, candidates
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: Investigation of current trends in parallel architectures, focusing on programmability as well as the characterization and modeling of their general-purpose capabilities; Investigation of AI hardware trends, with
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applying: Curriculum Vitae, duly updated, dated, and signed; Copy of academic degree certificates. a) If the possession of a degree is a requirement for the grant, candidates holding a degree
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models in the scope of the project GreenNanoBone “Sustainable 4D hydrogels functionalised with plant-based nanoparticles for bone regeneration in cancer patients” (reference Grant agreement ID: 101177877
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organizations at the Católica Medical School-UCP. License to establish animal experiments with small mammalian animal models to develop the Regenerative Medicine programme. 6. Selection Process The selection