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seeking a senior postdoctoral researcher (R2 level) to take on a leading technical role in the development of advanced modelling, control and optimization tools for smart energy systems. The selected
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new business models based on distributed storage and dynamic sharing coefficients, integrated into a regulatory sandbox and real-world test environment. Main tasks: Create algorithms to maximize
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the development of components using agent-based modeling techniques, reinforcement learning, and other explainable artificial intelligence modules for decision-making, situation assessment, and operational support
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. These capsules will offer multimodal therapeutic capabilities by integrating chemo-enzymatic reactions and photothermal therapy. In parallel, realistic in vitro models incorporating relevant cell types
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health research on Virus evolution using Organoids models (APROVO)” in the frame of the APROVO Project (Proyectos de Generación de Conocimiento, Ministerio de Ciencia, Innovación y Universidades). The PhD
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with a strong interest in fieldwork, modelling, and collaborative science Where to apply Website https://engeomodels.upc.edu/en/news/news-sample Requirements Research FieldGeosciencesEducation
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systems, with a particular focus on saline lakes and coastal lagoons. The research will combine fieldwork, water and sediment sampling, laboratory analyses, and numerical modelling to improve our
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, aiming to develop models capable of interpreting visual data and responding to clinical queries in a reliable and explainable manner. Where to apply Website https://www.upv.es/entidades/vinv/programas-de
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CONTRACTS FOR THE TRAINING OF DOCTORAL STUDENTS FUNDED BY THE UPV'S RESEARCH STRUCTURES – SUBPROGRAMME 2 (PAID-01-22) 109772 Research on understanding and optimization techniques for transformer models, with
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or equivalent Skills/Qualifications Valued/Preferred qualifications: Experience in software solution development Experience with machine learning models Experience in R&D&I projects (Research, Development and