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of adaptive network dynamics and critical transitions, providing a basis for modelling real ecosystems, particularly that of the Lough Hyne Marine Nature Reserve in West Cork. In addition, the successful
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. The analysis will involve validating adapted scale measures, descriptive reporting with good graphics, multilevel modelling and mediation analysis. It will involve interpreting and disseminating the results
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areas for offshore windfarm development from Clew Bay to the north coast of the island of Ireland to the northern Irish Sea. Building on a model for NW Ireland, the researcher will collate all available
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: Topologically-Informed Large Language Models for Innovation Intelligence. The project is funded by FFplus, a EuroHPC Joint Undertaking initiative under the European Union's Digital Europe Programme, and brings
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Devoy McAuliffe, both of whom have long track records in logistics and financial modelling of offshore wind. Please note that Garda vetting and/or an international police clearance check may form part of
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) and involves the weather resolved-logistics modelling that feeds the LCOE calculations. The UCC logistics models simulate installation, operation and maintenance, and decommissioning task by task
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on understanding the impact of microbiota on neurodevelopment and stress and social behaviour using zebrafish as a model system. Experience of zebrafish as a model system is desirable. The ongoing projects utilize
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regulatory decision-making around the implementation of these technologies. A key component of the work will involve developing an ex-ante economic model to identify cost-effective strategies for implementing
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Post Doctoral Researcher Rinn Artificial Intelligence – Research & Innovation in Data Science and AI
Please note that Garda vetting and/or an international police clearance check may form part of the selection process. Project: Statistical modelling & Medical imaging data analysis For an information
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checks with advanced machine learning architectures, specifically Long Short-Term Memory (LSTM) networks and Variational Autoencoders (VAEs). The researcher will use historical QC archives dating back