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Infrastructure? No Offer Description Mission: Optimize graph databases, including research, implementation, experimentation and dissemination tasks. Functions to be developed: Analyze the state of the art in
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9 Apr 2026 Job Information Organisation/Company UNIVERSIDAD DE BURGOS Research Field Engineering » Mechanical engineering Researcher Profile First Stage Researcher (R1) Positions Master Positions Application Deadline 20 Apr 2026 - 11:59 (Europe/Madrid) Country Spain Type of...
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Description OPTIMIZATION OF A NOVEL SOLAR PARTICLE RECEIVER BY MEANS OF HYDROTHERMAL TECHNOLOGY AND ARTIFICIAL INTELLIGENCE (HYDRAISOL-CM-UC3M) Funding entity: Autonumous Community of Madrid Phases
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be the reassembly, optimization, and commissioning of the group’s mid-infrared optical parametric chirped pulse amplification system. This ensures full operational restoration to safeguard
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extensive electromagnetic modeling to optimize the waveguide structures for minimal loss, efficient confinement, and effective mode matching with external optical components. Particular attention will be
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direction and publication. Research activities may include AI-assisted target discovery and biologic design, protein engineering and developability optimization, mechanistic studies in metabolic disease
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regional R&D initiative focused on the production of Sustainable Aviation Fuels (SAF). The requirements are as follows: Tasks Description: Optimization of anaerobic culture conditions of microorganisms aimed
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theory, modeling, and AI-assisted optimization activities within the consortium. Reporting and dissemination of the results. Share this opening! Use the following URL: https://jobs.icfo.eu/?detail=1074
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: Develop and simulate numerical models of damage and failure in aerospace structures, including FEA for metamaterials. Materials Design & Characterization: Study and optimize metamaterials and composites
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the discovery and optimization of high-performance functional materials through a fully integrated, interpretable AI platform. MAIAMI aims to establish a paradigm shift in materials science by embedding