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incorporate it into mathematical models of trait evolution across phylogenies. The work combines dimensionality reduction and geometric data analysis with the development of statistically rigorous comparative
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Description Are you fascinated by how viruses overcome biological barriers to infect a cell? Do you have a strong interest in advanced microscopy, single-particle tracking or computational analysis? Are you
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processes. Projects can include assembling, sharing, integrating, and advanced analysis of large amounts of data from diverse sources, including experiments, observations, and simulations, to gain a deeper
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assays, complemented by mass-spectrometry-driven chemical profiling and machine-learning-supported multivariate analysis. Where relevant, CRISPR-Cas-based genetic perturbations in mammalian cell models
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focus in multidisciplinary research. The CMCB laboratory aims more specifically at developing cutting-edge data/image analysis as well as modelling strategies to answer fundamental biology issues with
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. Required competencies: Strong background in bioinformatics (e.g., R, Linux, Python). Experience working with large cohorts and high-dimensional data. Experience with microbiome analysis and/or GWAS
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particle physics division at Stockholm University, which currently consists of six faculty members, four researchers and postdocs and seven PhD students. The focus will be on analysis of the high energy
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). Experience working with large cohorts and high-dimensional data. Experience with microbiome analysis and/or GWAS. Excellent English communication skills, both written and spoken. Meritorious (preferred
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and data science Experience with next-generation sequencing, mutation analysis, or cancer model systems is highly desirable. A strong interest in interdisciplinary research at the interface
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materials (Metal Organic Frameworks) that will be tailored with catalytically active sites of different nature and used as heterogeneous catalysts for organic reactions. This project is highly