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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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foods. Develop food prototypes of dry-cured meat and their plant-based analogues with optimized texture and sensory properties. Perform advanced statistical analysis, mathematical modeling, and interpret
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stages of the design, synthesis, and characterization of cerium oxide-based nanomaterials, with a focus on controlling oxygen vacancy concentrations for applications in catalysis and redox modulation. Key
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at CRAG (from basic science to applied research using plant experimental model systems, crops and farm animals) make extensive use of genomic technologies and large sets of genetic and genomic data (http
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cross-disciplinary research areas and/or application areas such as the ones listed below: CROSS-DISCIPLINARY RESEARCH Nanomaterials &Nanofabrication Nanocharacterisation Modelling and simulation
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of fertilization. Additionally, the project seeks to understand the role of soil microbiota in mediating these effects. PRIME Rice will be primarily based on an ongoing long-term field experiment on organic
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mediating these effects. The project is based on a multidisciplinary approach—integrating carbon cycling, advanced molecular microbial ecology, biogeochemistry, and agronomy—and will be conducted at three
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on the mastery of prompt and safe learning techniques for interconnected systems. The 15 FINALITY trainees will develop and integrate innovative methodological tools specialized for AI-based resource allocation
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to these technologies? How can we ensure legal compliance and public trust in AI-based healthcare solutions? The PhD will be hosted jointly by: CSIC (Madrid, Spain) – Supervisor: Dr. Francisco José Ausín Roessingh Centre