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aims to develop physics-informed artificial intelligence tools for single-molecule fluorescence microscopy. The PhD student will focus on designing AI-based methods for quantitative analysis of protein
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. Combining cutting-edge biochemical, biotechnological, and instrumental analysis- such as automated patch clamp for single-cell analysis, aptamer-based biosensors and immunosensors and mass spectrometry
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members of the human microbiome – including gut (E. coli), lung (S. pneumoniae, in collaboration) and skin (C. acnes) microbes – for basic or applied research, such as the delivery of molecules with anti
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