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clinical teams, IT professionals, and researchers to ensure seamless data collection, system integration, and follow-up data analysis. They will also play a key role in project coordination, research
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handling, computational biology such as RNA sequencing and metabolomics and analysis of large datasets will be highly valued. The appointee will work directly with the Aburto Lab group. Our work focuses on
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distinct cohort, in addition to refining how we collect and analyse these data. This project will involve working with existing large datasets, optimisation of data processing and statistical analysis
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includes analysing the economic feasibility of the proposed processes (WP1-5) using the Techno-Economic Assessment (TEA). Outcomes will be assessed through a sensitivity analysis as well as a risk analysis
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-5) using the Techno-Economic Assessment (TEA). Outcomes will be assessed through a sensitivity analysis as well as a risk analysis (which will identify different favourable and non-favourable
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team to undertake desk-based research and qualitative research. Desk-based research will focus on analysis and synthesis of policy and regulatory frameworks and identification of organisations and
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, or energy modelling software). Experience with techno-economic analysis and industrial decarbonisation is desirable. This position offers a unique opportunity to inform national energy planning by generating
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this lacuna through comprehensive analysis across multiple in-reach services. The post-doctoral researcher will achieve this through the voices of the service users and staff in addition to other stakeholders
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and Rehabilitation, under the direction of the Principal Investigator, Professor Suzanne Timmons. The successful candidate will contribute to trial design, data collection, analysis, and dissemination
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work closely with colleagues on the UCC academic team to undertake desk-based research and qualitative research. Desk-based research will focus on analysis and synthesis of policy and regulatory