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conferences and journals. Overview: The successful candidate will join an interdisciplinary team focused on developing innovative numerical algorithms and software to address emerging challenges in scientific
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analytics. The research assistant will develop real-time flight control algorithms, AI- based data processing, and mission management platforms, contributing to the deployment of smart UAV demonstrators under
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optimization of dynamic, uncertain, and multiscale systems. Guide the design and implementation of numerical algorithms, optimization routines, and simulation-based decision tools. Support project-based learning
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computing, and digital twin technologies for mission autonomy and predictive analytics. The research assistant will develop real-time flight control algorithms, AI- based data processing, and mission
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algorithms, optimization routines, and simulation-based decision tools. Support project-based learning with practical applications in PDEs, ODEs, discrete optimization, and control theory. Provide expertise in
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the mathematical modeling and optimization of dynamic, uncertain, and multiscale systems. Guide the design and implementation of numerical algorithms, optimization routines, and simulation-based decision tools
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sensors, actuators, control algorithms, and embedded systems. Guide the development and deployment of digital twins for real-world processes and infrastructures (e.g., factories, greenhouses, robotics
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Governance, diplomacy, and strategic foresight Education innovation and learning ecosystems AI, algorithms, and society
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, the next step in this project is to address sparse optimization for tensors. We propose the integration of randomized algorithms into sparse optimization frameworks for the purpose of completing
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conferences and journals. Overview: The successful candidate will join an interdisciplinary team focused on developing innovative numerical algorithms and software to address emerging challenges in scientific