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interested in pursuing a PhD, to explore the evolution of eukaryotic chromatin states and components. We are looking for enthusiastic candidates broadly interested in evolutionary biology, gene regulation and
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such as ATAC-seq, chIP-seq and 3D chromatin conformation capture data You have experience in the analysis of single-cell data Education and training You hold a PhD degree in Computational Biology Languages
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plus Education and training PhD in Bioinformatics or in Biology, Machine Learning, Statistics, Physics, Mathematics, Chemistry or related areas Languages: Highly proficient in both spoken and written
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the composition and function of the microbiome and how the microbiome affects the host. They will be keen to interact with other team members, including PhD students and bioinformaticians, to interchange expertise
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noncoding mutations causing diabetes, using advanced statistical genetics, computational regulatory genomics, and analysis of whole genome sequences in unique patient cohorts. Using computational strategies
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and computational methods. The lab encourages wet lab scientists to engage in their own data analysis and provides a supportive environment to this end. The group is funded by European Research Council