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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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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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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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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
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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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valuable insights to help optimize device performance. Additionally, you will support collaborators by assisting with in-situ TEM measurements, facilitating cutting-edge research in sustainability and energy
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today. Their convergence has the potential to redefine how we simulate, optimize, and understand complex physical systems. Integrating AI into quantum computers and simulators can help overcome current
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. Working closely with partners in the IMPRESS project, you will analyse their materials and provide valuable insights to help optimize device performance. Additionally, you will support collaborators by
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/funding reference: PID2021-124030NB-C31 Job title: Optimization, learning, and cooperation with applications in logistics Research line / Scientific-technical services: Optimization in transportation and
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of the corresponding manufacturing processes. The selected candidate will be responsible for: Leading the formulation development of the solid diagnostic product. Designing and optimizing the manufacturing process