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. We use comparative genomics, sensitive protein function prediction and structural bioinformatics to investigate the evolution and molecular mechanisms of microbial biological conflict, particularly
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scientific applications. The CGR lab conducts research at the cutting edge of computational biology and bioinformatics. We aim to understand human genome variation and evolution across different genomic
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scientific applications. The CGR lab conducts research at the cutting edge of computational biology and bioinformatics. We aim to understand human genome variation and evolution across different genomic
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to understand disease resistance and local adaptation across Europe. The project combines large-scale population genomics, graph-based pangenomics, structural variant discovery, genome-wide association studies
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external large-scale datasets. The role focuses on establishing the data foundations for the program’s initial modelling efforts by identifying, evaluating, integrating, and structuring large biological
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candidates whose expertise falls within one or more of the following areas: computational and mathematical modeling, statistical modeling, machine learning, network science, bioinformatics, applied mathematics
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requirements, what we are really looking for is a creative, quantitatively strong scientist who likes to invent. Your PhD might be in physics, computer science, computational or systems biology, bioinformatics