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- UNIVERSIDAD CATÓLICA DE MURCIA - FUNDACIÓN UNIVERSITARIA SAN ANTONIO DE MURCIA
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- UNIVERSIDAD DE LAS PALMAS DE GRAN CANARIA
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& Modeling: Develop and simulate numerical models of damage and failure in aerospace structures, including FEA for metamaterials. Materials Design & Characterization: Study and optimize metamaterials and
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of the proposed doctoral individual project: The doctoral candidate will carry out the individual project titled: “Optimization of Functionally Graded Osteochondral Scaffolds” Objectives: 1) analyse existing FEM
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at the various elements of the NEWTON RAN system. The aim will be to simultaneously optimize 6G KPIs, which might be conflicting (e.g., energy consumption optimization versus performance). This entails
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metasurface_Karlsruhe Institute of Technology_Germany..pdf English (140.82 KB - PDF) Download METATUNE-MSCA-DN – DC10_Data-driven methods for the design optimization of resonant reconfigurable metasurfaces_JCM Wave
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architectures, while also being in line with the Open RAN initiative; Novel AI-based resource allocation solutions, targeting the optimal utilization of both networking and computational resources. In
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for Accelerated Materials Innovation, which aims to transform the discovery and optimization of high-performance functional materials through a fully integrated, interpretable AI platform. MAIAMI aims to establish
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, optimize, and document acquisition protocols for reproducibility and scalability; stay updated with the latest developments in microscopy automation and scientific instrumentation. Requirements: · Education
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UNIVERSIDAD CATÓLICA DE MURCIA - FUNDACIÓN UNIVERSITARIA SAN ANTONIO DE MURCIA | Spain | 2 months ago
. Through advanced Machine Learning and Deep Learning technologies, it seeks to automate agronomic processes, optimize resource use, and maximize production in a sustainable way. Main duties Design
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AI-driven tools for bio-retrosynthesis-based metabolic pathway design, enzyme design and optimization, and DNA part selection. 2) knowledge-graph-based combinatorial experiment designs are used to span
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Intelligence Platform for Accelerated Materials Innovation, which aims to transform the discovery and optimization of high-performance functional materials through a fully integrated, interpretable AI platform