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project that aims to generate a hiPSC-based preclinical model for DDX3X syndrome, a rare neurodevelopmental disease caused by germline mutations in the RNA helicase and innate immune signalling adaptor
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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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mouse models. The research will include colony management and genotyping, deployment and evaluation of in vivo gene therapy treatments, EEG and behavioral assessments, histology and molecular studies
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Martina Schroeder’s research group at Maynooth University and her national and international collaborators on a HRB-funded project that aims to generate a hiPSC-based preclinical model for DDX3X syndrome, a
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under the supervision of Rinn AI Research Ireland Principal Investigator, Associate Professor Erivelton Nepomuceno. Project theme: Energy-Aware Modelling and System Identification for Sustainable
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language models, multi-agent systems, reinforcement learning and knowledge evolution, evaluated using industry operational datasets. These positions offer an opportunity to advance autonomous decision-making
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-inducing drugs. Through integrated molecular, cellular and tissue analyses, including patient-derived lung adenocarcinoma tissues and zebrafish CDX models, the study aims to define ferroptosis-driven
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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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proof-of-concept study using protein A resin (as a model resin), 2 IgG product streams produced by a platform CHO cell lines and advanced analytical methodology (including LC-MS, ELISA and CE-SDS
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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