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Research Fellow in AI for Healthcare (1 FTE) – ArcHub ICUSafeNotes-School of Computer Science 011287
addressing important data-driven applications in medicine, engineering, and the physical sciences, on the basis that important applications foster novel algorithms which in turn enable new applications
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for generating and distributing customised video ads using Generative AI, producing longer videos with smoother frame transitions and significantly enhancing motion realism compared to the state of the art. The
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we have developed offers a cost-effective and scalable method for generating and distributing customised video ads using Generative AI, producing longer videos with smoother frame transitions and
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networks, making use of intelligent AI-driven control planes. The work will involve: i) (i) development of network probing algorithms for OSNR/GSNR measurement automation; (ii) development of adaptive ML and
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companies. The technology we have developed offers a cost-effective and scalable method for generating and distributing customised video ads using Generative AI, producing longer videos with smoother frame
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. Proficiency in electrical systems design for buildings, domestic and commercial. Expertise in the design of electrical distributions systems, power, lighting, hvac control systems and electrical renewable
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Job Synopsis Reporting to the Head of School, the post holder will play a key leadership role in the School of Medicine, leading and managing the distributed administrative team on UL campus and
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the distribution of expression levels in tens of thousands of single cells. In this project, we will utilise state of the art single cell omics to decipher the biological processes underpinning therapeutic rAAV