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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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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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. 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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this project, using extensive primary cell culture, molecular analysis, scRNAseq, non-invasive imaging analysis, along with mechanistic studies using 2D/3D culture models, we will dissect the distinct cellular
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for structural variants and copy number variants (SVs/CNVs), will be used to optimize data analysis and variant discovery. The project will focus on identifying previously overlooked pathogenic variants, exploring