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MCDA, and WP5 Communication, Dissemination and Exploitation. This position leads UCC’s contribution to WP2 (Cost of FLOW) and involves the weather resolved-logistics modelling that feeds the LCOE
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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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Immunologist to join our team as a postdoctoral researcher. At a minimum, applicants should have prior experience of working with murine models of infection and/or murine models of allergy, especially
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minimum, applicants should have prior experience of working with murine models of infection and/or murine models of allergy, especially gnotobiotic models. Applicants who also have prior experience with
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statistical modelling, medical imaging data analysis, cancer omics, precision medicine and translational statistics. Depending on their profile, the successful candidate will work on one of the following
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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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Post Doctoral Researcher Rinn Artificial Intelligence – Research & Innovation in Data Science and AI
. The host research group leads a number of projects on the development of theoretical and applied methods in statistical modelling, medical imaging data analysis, cancer omics, precision medicine and
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. The project explores novel communication, sensing, and data-driven techniques to support safer and more adaptive interactions among heterogeneous road users. The research will be carried out under
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the awareness, reliability, and responsiveness of future connected systems operating in complex urban environments. The project explores novel communication, sensing, and data-driven techniques to support safer
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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