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, with emphasis on robustness, generalization, and performance in high-dimensional and noisy biological datasets. See this publication for additional details: https://doi.org/10.1111/ede.12449 . The second
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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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of the methods for the different case study workshop in collaboration with the other consortium members and tailor it to the needs of the various stakeholders. They will be responsible for the analysis of results
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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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). 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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responsibilities include designing and conducting field experiments, coordinating studies across multiple sites which includes collaboration with multiple international research groups, data analysis, and writing