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will focus on building understanding of the interplay between the upstream process parameters and process performance to develop approaches and strategies to optimize efficiency and robustness and allow
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networks become essential to manage network requests, while maintaining high availability and optimal resource utilization. One PhD studentship is available for work in the area of Digital Twins for optical
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-world experimentation and data collection, particularly in an end-to-end network deployment that integrates AI-driven energy optimization strategies. Application Procedure Applicants should email Dr
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