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of causal inference and machine learning models linking transport, energy, and environmental outcomes • Conduct advanced econometric and statistical analyses of large behavioural and spatial datasets
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to the development of causal inference and machine learning models linking transport, energy, and environmental outcomes • Conduct advanced econometric and statistical analyses of large behavioural and spatial
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engagement (EPE) programmes, linking with schools and the public. The role-holder will coordinate the Research Ireland funded Chemistry Toolbox project, using a guided inquiry approach for non-formal science
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and carers to coordinate data collection and drive the work package’s research output. The goal of Work Package 3 (WP3) of the EMERALD-Lewy programme is to develop and maintain a pilot prospective
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Post Summary The successful applicant will have an opportunity to carry out studies in ageing and conduct research from the health assessments and other data collected as part of The Irish
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Researcher scales [from €46,805 per annum] **Post Status:**Specific Purpose Contract – Full-time. Further Information for Applicants: The positions are full-time and available for an immediate start date
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expectations and evolving professional and creative sector demands, including the implications of generative AI. The Fellow will design and carry out research activities, including data collection, analysis, and
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Research Assistant with strong quantitative data analysis skills to support the analytical and organisational components of the project. The role involves working closely with the Principal Investigators, Dr
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coordination of clinical and translational research studies within the Upper GI programme at TSJCI. The role will include patient tracking, biospecimen management, clinical data integration, and research
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name, place, and date of collection. These plant specimens contain irreplaceable scientific information that can be mined using advanced scientific techniques to track trends in global biodiversity