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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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positions at UCD working closely with industry partners, specifically LaNua Medical (https://www.lanuamedical.com/ ) and Integer Holdings Corporation (https://www.integer.net/ ). The project focuses on LaNua
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dissect these interactions across cellular, organ, and whole‑body levels. The researcher will work across rodent models of metabolic liver disease, ex vivo perfused liver systems, primary hepatocyte and
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data project, funded under the EIT Food Impact Funding Framework. The successful candidate will lead in scientific activities, such as harmonising environmental footprinting standards (Organisational
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funded through the Research Ireland Frontiers project "Nanoelectronic Quantum Simulators". The project will involve studying quantum circuits as a platform for analogue simulation of fundamental models
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, and generate high-quality datasets for predictive microbial modelling and risk assessment. Responsibilities include contributing to the design and execution of food challenge studies, integrating
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services are regularly implemented in a sector specific manner, meaning research is needed to better understand where multi-sector and cascading risks can be identified, managed, and modelled. This research
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studies incorporating in vitro, ex vivo and in vivo experimental models, biobanking and clinical studies will be central to the work of the lab. The team will directly work with clinical collaborators
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Support the writing of scientific publications Present the research findings at internal and external meetings Where to apply Website https://my.corehr.com/pls/coreportal_rcsip