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identification skills, with coral reef field and scientific-diving experience. Advanced Open Water or Rescue Diver certification. Strong statistical and data-analysis skills, including R/Python and large
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is developing research excellence in areas including Machine Learning, Big Data, Visual Analytics, Computational Intelligence, Machine Learning, Software Implementation and Testing, and their
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multidisciplinary investigators, and establish an independent research direction. As a successful candidate you will: Lead computational analysis of single-cell/single-nucleus RNA-seq, ATAC-seq, and multiome datasets
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• Possess a PhD in Computer Science, Software Engineering, Information Systems, or a related field. • Strong full-stack development skills (e.g., Node.js, React/Vue, Python backend frameworks
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and analysis pipelines using MNE-Python, and contributing to the analysis of pilot EEG data. The post-holder will also support the development of behavioural coding approaches for social interaction and
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College Cork to develop innovative modelling and analysis methods for complex infrastructure systems. The project will develop data-driven hybrid models that capture the interaction between physical
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material flow analysis, life-cycle assessment, and techno-economic screening to evaluate selected symbiosis pathways. Preparing technical briefs, maps, diagrams, scenario portfolios, and visualizations
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simulations. Assist in data visualization, interpretation, and presentation of results for publications, grant applications, and internal/external meetings. Maintain rigorous documentation, reproducibility, and
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microbiology and biotechnology research to investigate AMR mechanisms and the mobility of resistance genes. The work will combine microbiological and molecular experiments with data analysis to understand
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data analysis will be an advantage. • Good written and oral communication skills, with the ability to prepare scientific manuscripts, reports, and presentations in English. • Proficiency in data analysis