21 scholarship-phd-water-resource-management Fellowship positions at Trinity College Dublin
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biodiversity and reverse water quality deterioration mean business as usual is not an option. Transformations in how we produce food, store carbon, manage risks and exploit new opportunities are urgently needed
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incorporated into a loop heat pipe and two-phase mechanically pumped loop device. Condensation, passive fluid transport and water harvesting applications will also be considered where suitable. This research
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interested in playing the key role of Network Manager for the Evidence-based QUality Improvement and Patient Safety (EQUIPS) research network. EQUIPS aims to build a community of Quality and Patient Safety
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loop heat pipe and two-phase mechanically pumped loop device. Condensation, passive fluid transport and water harvesting applications will also be considered where suitable. This research aims to develop
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. The successful applicant will have experience in isotope hydrology, water chemistry and biogeochemistry, an interest in developing research in groundwater and surface water quality management, and will be expected
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cognition over time, using both passive and active assessments. The Research Fellow will join a growing team of PhD students, postdoctoral fellows, and app developers in the Gillan lab and will participate in
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The Department of Civil, Structural and Environmental Engineering at Trinity College Dublin (TCD) are seeking two Research Associates and one PhD student to work on the SEAI funded InDyCORE
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Republic of Ireland, acting as a proxy for climate change (e.g. changes in temperature, sea level, river discharge and precipitation), and encompassing a range of successful restoration approaches. It brings together
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and evolution of antifungal resistance and its management in the future. We will develop tools to detect the emergence of dual-use antifungal resistance and provide appropriate risk assessments
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to develop an extensive collaborative network both within Ireland through Multi4More and internationally through LegacyNet. The ideal candidate will have a PhD in Statistics (or similar quantitative