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biofoundries, fostering sustainable industrial biotechnology across the bioeconomy sectors. The lab combines synthetic biology, machine learning, and biosensor and pathway dynamic regulation design to produce
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large-sample hydrology (LSH) datasets, deep learning rainfall-runoff models, and hydrological alteration analyses, with the ultimate goal of improving the identification and management of ecological flows
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-scale strategy will be implemented to design and optimize these metabolic pathways, integrating insights from various biological scales. Where to apply E-mail pablo.carbonell@csic.es Requirements Research
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