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responsibilities: Perform optical modeling and optimization for metasurface design, integrated with other optical components. Inverse design of optical components such as metasurface photonic-crystal unit cells
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toolchain to support autonomous “closed-loop” optimization environments, enabling AI agents to analyze, transform, and validate IR with performance-driven reasoning. HPC System Co‑Design : Investigate
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, point-of-care (POC) development, and biomedical diagnostics. This role offers a unique opportunity to contribute to the design and optimization of integrated microfluidic platforms for specific disease
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manufacturing, aerodynamics, UAV design. Objectives: The main objective is to support the development and validation of morphing drone prototypes by combining structural optimization, lightweight
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toolchain to support autonomous “closed-loop” optimization environments, enabling AI agents to analyze, transform, and validate IR with performance-driven reasoning. HPC System Co‑Design: Investigate
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the assigned salary range for This is a postdoctoral position working on a project entitled, “AI-Powered Multi-Agent System (MAS) for Real-Time QoS Anomaly Detection and Adaptive Network Optimization
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agentic artificial intelligence (AI) methods that propose, prioritize, and interpret experiments, accelerating the discovery and optimization of catalytic materials for energy and sustainability
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thermodynamic and kinetic models into an alloy design framework (including material properties models) that uses numerical optimization methods to rapidly screen for promising compositions over vast multi
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) incorporating symmetries and constraints into neural network models. Of particular interest are candidates who have a background and/or interest in one or more of the following: optimization and optimal control
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background in communication and transport network design, with demonstrated expertise in network resilience or survivability and in network optimization. Solid programming skills (for example in Python) and