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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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of computer science, mathematics, applied mathematics or statistics. Applicants must demonstrate proficiency in machine learning or statistical modelling and have some experience with computing through Python, R or C
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therapeutic’s efficacy • Culturing primary human cells and cell lines • Conducting molecular biology assays • Creating and validating viral delivery systems • Optimizing
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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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for structural variants and copy number variants (SVs/CNVs), will be used to optimize data analysis and variant discovery. The project will focus on identifying previously overlooked pathogenic variants, exploring
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to understand microbial interactions and optimize biogas production. This PhD position offers a unique opportunity to work in a multidisciplinary team under the supervision of Professor Muhammad Ali (TCD) and Dr