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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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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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quantitative data analysis. A keen interest in working across scientific disciplines, including physics, chemistry and biology; Excellent interpersonal and communication skills in English, both written and
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data processing, statistics, and multivariate analysis of high-dimensional datasets. An excellent publication record relative to career stage, with evidence of scientific independence, intellectual
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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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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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). 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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data analysis efforts in the areas Higgs pair production or BSM searches related to third generation particles contribute to the activities in combined performance, trigger or data preparation contribute
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responsibilities include designing and conducting field experiments, coordinating studies across multiple sites which includes collaboration with multiple international research groups, data analysis, and writing