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reach the market, current manufacturing and characterisation technologies in the industry will struggle to deliver them economically and safely for patients. This research program aims to provide
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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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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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communication network infrastructure. This role will lead efforts in the study of the methods for optimizing performance of future cellular communication networks. The research will identify the technical
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communities, including: • Maintaining and optimizing the VM hosting a bilingual (English/Chinese) corpus and website, including a customized content management system. • Developing mobile applications (WeChat
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within the School of Computer Science and Statistics (SCSS). The Linux Infrastructure Specialist will provide critical operational expertise and high-level contributions to both teaching and research
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Vision Parallel & Distributed Computing Control and Optimization Human-Machine Interaction Software Development AI Agents Preferred Expertise Experience deploying AI solutions in fields such as: Predictive
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collaborative investigation including teams with expertise in cell biology, molecular biology, biomedical engineering, clinical medicine and computational biology. The team aim to create a novel, targeted
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being collected are processed and handled to ensure optimal quality. They will ensure data being extracted is complete, usable and accessible on a database for the project needs, and the correct data
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Energy Authority of Ireland (SEAI) under the National Energy Research Development and Demonstration (RD&D) Funding Programme. The CABBIE project will investigate how to advance cascading algal biomethane