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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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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
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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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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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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
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the nomadic, semi-settled and settled tribes living in cultivable, desert, and mountainous ecologies. The project proposes an ambitious longitudinal enquiry, combining an analysis of digitized and published
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theory Quantitative text analysis Prospective students are encouraged to consult the webpages of members of staff to check if staff research interests match their proposed projects. Enquiries about the
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social sciences, statistics, or equivalent). The study provides training in applying advanced statistical methods (such as Structural Equation Modelling, Latent Class Analysis and/or Multi-level Modelling