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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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background in landscape ecology, geography or even landscape architecture is helpful, the work is expected to lean heavily on mathematical, statistical and quantitative analysis of the LiDAR data to not only
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, architecture, material engineer. The Research Fellow will be responsible for conducting and leading simulations, field measurements, data analysis, as well as laboratory and field testing throughout the duration
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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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Implement and test different ML architectures for postprocessing precipitation forecasts over India. Determine how to maximise information extracted from the raw forecasts and how to optimise postprocessing
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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