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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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the utility and the robustness of different explanation strategies. A large focus of this project will be on leveraging novel and interpretable approaches in applied domains such as algorithmic fairness and
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scientists from, e.g., Sociology, Political Science, or Economics. The PhD candidate will also develop state-of-the-art optimisation algorithms specifically tailored to the proposed large-scale network models
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risk. These studentships are ideal for candidates with a strong background in computational biology, bioinformatics, population genetics, and statistical genetics and an exceptional interest in
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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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of Galway’s community. Living allowance (Stipend): €25,000 per annum [tax-exempt scholarship award] over four years. Computer equipment and funding for travel (e.g. to conferences), as well as attendance
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techniques including culturing of microorganisms, isolating and culturing of immune cells, and constructing genetically modified microorganisms. The students will use molecular, cell biology and protein
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embedded in the cross-disciplinary TRDA project Entangled Lewy. The project brings together Health Sciences, Engineering, Computer Science, Health Economics, Arts, Humanities and Social Sciences to develop
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phytate utilisation in soils. Project Objectives Investigate the genetic mechanisms of phytate utilisation in soils Identify the importance of different phytate utilisation systems in different ecosystems
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educator resources, paying particular focus to the development of enterprise skills in the computing and software development context. Expected outcomes include stronger industry-academia collaboration