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pilot a robust, replicable, and sector-sensitive framework for quantifying realised emissions outcomes across key policy domains, aligned with EU reporting requirements and national Climate Action Plan
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will seamlessly switch between energy sources, aligning operations with renewable availability, market demand, cost & energy efficiency. Energy-aware scheduling, self-healing control systems, and human
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twins, AI, and predictive analytics. Process equipment will seamlessly switch between energy sources, aligning operations with renewable availability, market demand, cost & energy efficiency. Energy-aware
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will seamlessly switch between energy sources, aligning operations with renewable availability, market demand, cost & energy efficiency. Energy-aware scheduling, self-healing control systems, and human
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twins, AI, and predictive analytics. Process equipment will seamlessly switch between energy sources, aligning operations with renewable availability, market demand, cost & energy efficiency. Energy-aware
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at PhD level, ideally as applied to lactic acid bacteria, is required. Experience of handling data from metagenomics with shotgun sequence data, ideally in combination with RNAseq data and metabolomics, is
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. Experience of handling data from metagenomics with shotgun sequence data, ideally in combination with RNAseq data and metabolomics, is highly desirable. UCC is an accredited research organisation and as such
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, and robust statistical and bioinformatic workflows across all participating sites. The role requires strong expertise in human cohort studies, microbiome sequencing technologies (e.g., 16S, shotgun
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that this technology can be leveraged worldwide. This ambitious project aligns to the UCC Futures thematic areas of Future Medicines and AI & Data Analytics. The successful candidate will gain experience developing
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. Capability to work in a team environment, meet deadlines, prioritize and balance work from multiple individuals, to achieve results. A commitment to gaining practical experience working on a research project