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expected to be bioinformatic in nature. Applicants must have a PhD in a relevant subject, experience of macrosynteny analysis and phylogenetic analysis of gene families, and a thorough knowledge of animal
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research role. We encourage all potential applicants to think about potential proposals for parallel individual projects which may complement these two research projects, and we will work with you to refine
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will include comparisons from within the Fungi to comparisons stretching back to the last universal common ancestor. You must be able to conduct a range of bioinformatic approaches involving the use
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these two processes. The postholder will exploit a series of single-cell and spatial transcriptomics datasets of glioblastoma initiation and recurrence generated by the team to dissect the cell-intrinsic and
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datasets. This includes the processing and quality control of whole-genome sequencing data, methylation data, and RNA-sequencing data, as well as the development and application of computational methods
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also provide support to bioinformatic analyses and data management. The successful candidate should have experience with analysing genomic data, be willing to work as part of a team and to be open-minded
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including next-generation sequencing, bioinformatic analysis (R and/or python), mammalian cell culture. The post holder will be comfortable working both independently and in a collaborative environment. What
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with thousands of robots learning synchronously in parallel. In particular, you will take a leading role in creating the simulation environment, 3D printing promising robot hand designs, and setting up a
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including next-generation sequencing, bioinformatic analysis (R and/or python), mammalian cell culture. The post holder will be comfortable working both independently and in a collaborative environment. What
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bioinformatics. The successful candidate will join a team with a strong track record in developing computational tools and informatics infrastructure for metabolomics applications in toxicology, systems biology