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-invasive and fast techniques to collect in operando data for battery cell characterisation and testing. Second, the candidate will develop Artificial Intelligence methods that can leverage these data
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GE rice plants, artificial intelligence (AI)-driven high-throughput phenotyping and multi-omic analytics and soil microbiome monitoring. The PhD project is embedded within the BIOCRAFT project
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