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to reprogram for binding selected nucleotide targets. These tools hold significant promise for gene therapies, particularly for diseases involving complex mutations in large genes. The candidate will lead
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electrochemical and fluid dynamics aspects to predict PeP efficiency in complex dental geometries. The knowledge generated from this research will support the development of design and post-processing guidelines
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