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the mentorship of leading experts in one of the following priority research areas: Research area 1: Intelligent Structural Optimization using Physics-Informed Reinforcement Learning Research area 2: AI-Enhanced
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Title: Mechanistic Investigation on Electric-Bias-Optimized Plasma Catalysis for H2O-CO2 Conversion Project Introduction: Plasma catalysis is emerging as a promising alternative for carbon-dioxide
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and optimize high-frequency magnetic components and resonant power conversion circuits for advanced aerospace power supply applications. In this role, you will collaborate closely with project
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, metabolomics, and immunophenotyping of colonic tissues. Develop and optimize small animal models of colitis to investigate the mechanistic role of SCFA-producing microbes in mucosal repair. Perform data analysis
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inspection system that are fabricated by robots and multimodal sensors. Development of analytic models, simulation, and optimization for the quality inspection systems. Development of a predictive model for
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communications, and can be used to diagnose diseases, while microbacteria are important for research on antibiotics resistance. The main task for this position is to design, fabricate and optimize a photonic
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, automated optimization, and adaptive co-simulation and testing workflows for QKD systems and protocols. Translate research insights into tools, methodologies, and frameworks for quantum security testing and
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Responsibilities: Conduct programming and software development for graph data management. Design and implement machine learning models for optimizing graph data management. Conduct experiments and evaluations
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. Candidates will perform research on agentic AI, foundational modeling, optimization, and control of multiagent autonomous systems with an application in renewable energy and power grids, in addition to working
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Interaction and Source Optimization 3D Nanostructure Imaging and Scattering Techniques Surface Chemistry and Tribology Our institute combines state-of-the-art laboratories with a dynamic scientific environment