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, nanopores, and ion channels for in vitro bioelectronic applications. The project sits at the interface of protein design and applied technology: the successful candidate will learn and apply state-of-the-art
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, nanopores, and ion channels for in vitro bioelectronic applications. The project sits at the interface of protein design and applied technology: the successful candidate will learn and apply state-of-the-art
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spatial transcriptomics, genomics, or imaging-based methods. Experience with image analysis, single-cell or spatial omics data analysis. Familiarity with machine learning frameworks (e.g. PyTorch
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