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that these cells could be deployed to control intracellular S. aureus. The project will employ cutting edge technologies (transcriptomics, in vivo infection models, single cell metabolic analysis) to profile
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manufacturing using single cell omicsSupervisors: Colin Clarke and Niall BarronAbout the project: The study of cellular biology has been transformed by single cell analysis. Rapid technological advances in areas
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degree (2.1 +/MSc) in mechanical / civil engineering, acoustics, materials, or related; aptitude for experimental measurements and cost-benefit analysis; creativity in sustainable design General
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foster resilience among international protection beneficiaries. The methodology combines desk-based analysis across legal and ethical disciplines, with semi-structured interviews with lawmakers and
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. Fieldwork on this project will take place in Ireland but there will also be the potential to use data from sites in the UK and Spain. Root and soil analysis facilities, as well as computing resources
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critical component analysis, and (iii) development of Automation of ML model and data selection. The applicants should have knowledge of machine learning and optical networks and willing to engage in testbed
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in the public, non-profit, and media sectors. The ideal candidate will have a background in qualitative research, news media analysis, or misinformation studies, with an interest in strategic political
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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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to the wider world like the nomadic, semi-settled and settled tribes living in cultivable, desert, and mountainous ecologies. The project proposes an ambitious longitudinal enquiry, combining an analysis
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Women's Tech Entrepreneurship - A Mixed-Methods Analysis of Ireland's Innovation Ecosystem Supervisory Team: Dr Marie Ryan, Dr Huanhuan Xiong, Prof. Eleanor Doyle Impact of technology on economic and non