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multidisciplinary team of students and Ph.D.-level staff tasked with obtaining a molecular understanding bacterial sulfur metabolism and mechanisms of hydrogen sulfide (H2S)/reactive sulfur species (RSS) homeostasis
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the Electrochemical Engineering Science Group and work within Dr Daniel Niblett's team on the five-year UKRI EPSRC ION-H2 Fellowship. The programme combines computational modelling, machine learning
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contributes to the Future Energy Exports CRC project within the Industrial AI Research Centre by advancing interoperable approaches to process control and Digital Twins for H2 production processes
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