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) out to 2050. Tasks include compiling big-data inputs, developing CNOSSOS-EU compliant simulations, validating predictions with field/lab measurements and mapping future hot-spots. Ideal profile: honours
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interdisciplinary study that will assess the pre-/and post-radon concentrations following deep energy-retrofits scenarios of the large-scale national renovation strategy. INFORM will utilise a building physics model
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concentrations following deep energy-retrofits scenarios of the large-scale national renovation strategy. INFORM will utilise a building physics model (CONTAM), which will be parameterised based on representative
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digital assets. The successful individual will bring a strong track record of strategic senior leadership experience in a large and complex organisation and ideally in the higher education sector. They will
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fieldwork, data processing, project reporting and administration as deemed appropriate by the PI. The Successful candidate will support the DETECT project which aims to assess coastal vulnerability and model
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the Trinity Centre for Ageing and Intellectual Disability, Trinity College Dublin. IDS-TILDA is a large scale nationally representative study of people with an intellectual disability aged 40 years and over
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the Trinity Centre for Ageing and Intellectual Disability, Trinity College Dublin. IDS-TILDA is a large scale nationally representative study of people with an intellectual disability aged 40 years and over
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the Trinity Centre for Ageing and Intellectual Disability, Trinity College Dublin. IDS-TILDA is a large scale nationally representative study of people with an intellectual disability aged 40 years and over
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and this project aims to identify and isolate keystone bacteria involved in bile acid metabolism in the human large intestine in both healthy volunteers and people with inflammatory bowel disease
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services to students and staff of the College, along with visiting researchers and the general public. These positions offer great scope for developing a wide range of library and other information-related