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Lund University, and you will be interacting with a twin PhD student recruited there. As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part
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will work at the interface of computational and experimental protein science. Your research will include: - De novo protein and enzyme design using computational and AI-based methods - Experimental
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epidemiology and biology of infection, which is a fully funded, four-year PhD student position. Data-driven life science Research School Data-driven life science (DDLS) uses data, computational methods, and
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life science doctoral student in Data-driven epidemiology and biology of infection, which is a fully funded, four-year PhD student position. Data-driven life science Research School Data-driven life
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spectrometry and methods within integrative structural biology to identify and describe such host–pathogen protein–protein interfaces in detail. This is important for the future development of small‑molecule
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fails, organic acids can accumulate after disturbances and reduce system efficiency. Because no single microorganism can perform these reactions alone, strong and well-coordinated interactions between
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interfaces in detail. This is important for the future development of small‑molecule inhibitors, nanoparticles, and specific antibodies targeting these interfaces as treatments for infections. Within
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The position is based at the Department of Medicine, Huddinge, within a highly interactive research environment focused on human immunology and translational cancer research. The group has a long-standing
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perform these reactions alone, strong and well-coordinated interactions between multiple species are essential. As a doctoral student in this project, you will investigate cell communication in