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that the immune system relies on for eradication of this bacterium. Thus, it is essential that we understand better the mechanisms of immunity that are deployed to control intracellular S. aureus infection
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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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for effective scale-up. Particular focus will be given to strategies for increasing the utilization rates of pDNA, maximizing the transfection efficiency and controlling the protein expression profile in order
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nanophosphors; and other target materials, e.g. quantum dots or magnetic nanoparticles; and exploring and exploiting DES tuneability to control nanoparticle production and properties. The functionality
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will be dependent on University approval, together with the terms of the employment control framework for the higher education sector. UCC is committed to creating and fully embracing an inclusive