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We are seeking a motivated and creative PhD student to develop the next generation of AI-driven protein design methods that explicitly account for protein–lipid and protein–membrane interactions
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We are seeking a motivated and creative PhD student to develop the next generation of AI-driven protein design methods that explicitly account for protein–lipid and protein–membrane interactions
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. Apply sound software and data engineering practices, including version control, automated deployment, testing, documentation and reusable components. Design and build solutions with performance, security
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software and data engineering practices, including version control, automated deployment, testing, documentation and reusable components. Design and build solutions with performance, security and
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screening pipeline, from stem-cell engineering to data analysis Develop and test improvements in single-cell methods and vector design Apply the technology in steady-state and disease settings Analyse
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) and brings together internationally recognized research groups with expertise in protein biochemistry, membrane biology, protein design, nanobody technology, cryo-EM, X-ray crystallography, NMR
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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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protective antiviral immune responses. The recognition of viral nucleic acids by the immune system is important in the context of virus infection, but is also highly relevant for vaccination. For example
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results across different data types and projects, and uncover biological patterns and insights. Strong collaboration and communication across the computational and experimental sides of the lab will be