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This research focuses on developing and evaluating methodologies for the optimal design of control charts within the framework of Statistical Process Control (SPC). The study aims to determine the
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compressed into lightweight student models using knowledge distillation, enabling efficient real-time inference on mobile devices. The distilled models will be deployed and optimized on mobile platforms, with
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The primary objective of this project is to enhance Large Language Models (LLMs) by incorporating software knowledge documentation. Our approach involves utilizing existing LLMs and refining them
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-knowledge proofs, enabling secure, distributed data processing. Self-Healing and Fault Tolerance: Example: If a node in a distributed system fails, SmartScaleSys (S3) would automatically detect this and re
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management of laboratory animals, ensuring optimal welfare outcomes while supporting researchers with accurate data and expert technical services. This is a rewarding opportunity to contribute to meaningful
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, breeding programs, and colony management, maintaining genetic integrity and optimal health status Monitor and analyse animal records, identifying risks, raising issues and making recommendations to ensure
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expert daily animal care, including feeding, watering, cleaning, enrichment, and maintaining optimal hygiene standards Support animal breeding and provide technical services in line with approved workflows
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Science is a public good. The benefits of knowledge are or should be available to everyone, but the way this knowledge is produce often responds to individual incentives [1]. Scientist are not only
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this project, we will develop automated approach to detect the defects in AI systems, including LLMs, auto-driving systems, etc. Required knowledge - self-motivated, willing to spend time and efforts in research
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. Required knowledge - self-motivated, willing to spend time and efforts in research - good programming and analysis skills - good communication skills (oral and writing) - good background in software testing