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for Climate and Air Pollution Studies (universityofgalway.ie/c-caps/), led by Prof. Jurgita Ovadnevaite, and to facilitate Climate modelling activities under the Epic-Air project (universityofgalway.ie/epic
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that provides data-driven prediction model and an automated dynamic decision model. This is a research focused role, where you will conduct a specified programme of research supported by research
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of the research group is to model genetic diseases using gene editing tools such as CRISPR/Cas9 to gain a better understanding of the mechanisms at play and to find alternative treatments. Based on previous work in
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, 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 examining
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of scaling models, business model development, and funding strategies in education. Knowledge and understanding of policy, practices, and procedures that are relevant to the role, to include knowledge and
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-Doctoral Researcher. At a 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
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the project entitled Modelling and measuring agricultural management on peat soils to enhance removals and sequestration of carbon (MAPSERS-C) that is funded by the Department of Agriculture Food and the Marine
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will provide the justification, and inform the appropriate dosing regimen, for future human clinical trials. The primary focus of the research group is to model genetic diseases using gene editing tools
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to drive the research, support AFI and manage the programme, is to examine existing and develop future data management / governance approaches. Aim is to optimize the shared service model enabled by improved
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population estimation and modelling of population movements in the context of examining population exposure to extreme sea levels in low-elevation coastal zones (LECZ) in Ireland. In so doing, insight will be