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pathogens. Given the expertise of the lab, the focus will be on screening commensal spore-forming gut bacteria. We have established a large in house culture collection of whole-genome sequenced gut bacteria
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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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Environmental Footprint - OEF; Product Environmental Footprint - PEF), integrating Data Quality Rating (DQR) methodologies, and developing CSRD-aligned key performance indicators (KPIs). In addition
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leadership in widening participation through the establishment of the National Centre for Inclusive Education. This aligns with MU’s vision to be a university of ‘Excellence, Opportunity, and Impact’ and our
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of qualitative and participatory data using appropriate approaches (e.g. reflexive thematic analysis), ensuring rigour, reflexivity, and alignment with project aims. To support the development and delivery of co
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of new test methodologies including infection related biomarkers and microbial genomic sequencing (microbial isolate and metagenomics). Project Title: CRF-UCC Where to apply Website http://www.ucc.ie/en
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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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, 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