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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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using data extracted from software repositories. This fine-tuning process aims to enable the models to provide answers to queries related to software development tasks. Examples of such queries include
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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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Kawasaki Disease Research Fellow - OPTIMAL CRE & Kawasaki Disease Foundation Job No.: 691031 Location: 553 St Kilda Road, Melbourne Employment Type: Full-time Duration: 12 month fixed-term
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, cost-effective cloud infrastructure and orchestration processes to optimize data storage, security, and high-performance processing. Maintain comprehensive monitoring and logging solutions to ensure
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of the AAAI Conference on Artificial Intelligence (Vol. 26, No. 1, pp. 267-273). - Blau, T., Bonilla, E. V., Chades, I., & Dezfouli, A. (2022, June). Optimizing sequential experimental design with deep
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to avoid system bottlenecks, and ensuring low-latency performance. Energy-Efficient Operations with Carbon-Aware Scheduling: Example: For non-urgent data processing, SmartScaleSys (S3) could prioritize tasks
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regulations and security policies. Optimize system performance by evaluating and deploying emerging technologies to improve data ingestion, storage, and processing efficiency. About You Obtained tertiary
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-temperature performance. The PhD project will focus on the development, investigations and optimizations of new electrode and electrolyte materials. The project will expand the student’s skill set in scientific research
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include: Design, configure, and maintain Power Platform environments, ensuring effective management of Data Loss Prevention (DLP) policies and approved connectors to support business processes securely and