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on heterogeneous integration and security of chiplet-based IC systems. This role involves research and development in chiplet-based architectures, aiming to demonstrate secure intelligent computing platforms
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on heterogeneous integration and security of chiplet-based IC systems. This role involves research and development in chiplet-based architectures, aiming to demonstrate secure intelligent computing platforms
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novel research methodologies in computer vision, deep learning architectures, and neuro-fuzzy systems to contribute to the development of robust AI frameworks for medical diagnosis and treatment support
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on heterogeneous integration and security of chiplet-based IC systems. This role involves research and development in AI-assisted design for chiplet-oriented architectures, aiming to demonstrate secure intelligent
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agentic architecture. With prior experience in AI security and AI agents, including prompt injections, data extraction, jailbreaking, poisoning and adversarial attacks, the candidate brings transferable
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Responsibilities: Collaborate on application-level and system-level architecture design for AI-oriented software-configurable NoC systems. Design reconfigurable on-chip communication components using emerging
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, and blockchain-based infrastructures. Formulate novel research methodologies and contribute to the development of secure architectures and verification frameworks for next generation blockchain
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DeFi, cross-chain interoperability, and blockchain-based infrastructures. Formulate novel research methodologies and contribute to the development of secure architectures and verification frameworks
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operation. Develop modular architectures for multi-agent coordination, sensing, and communication. Integrate sensor suites, flight controllers, and swarm coordination algorithms into UAV platforms. Conduct
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: A PhD in Physics, Computer Science, Mathematics, Machine Learning or relevant fields. Strong publication record in top conferences/journals, such as Nature Physics, Nature Communications, PRL, T-PAMI