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to achieve the long range goals and specific aims of funded NIH grants. 5) Analysis of connectomic data, direction of collaborators (including senior scientists, AI companies, postdoctoral fellows and students
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., SQL queries) Excellent knowledge of statistical methods for data analysis and data visualization Very good German and English skills (both at least B2 level) Ability to work in a team and strong
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new features in these software packages and setting up new computational pipelines for large-scale automated data analysis, making an essential contribution to our scientific research. At Saeys lab, you
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. level bioinformatician. The facility is a centralized resource of expertise for the analysis and visualization of large-scale biological datasets, available to researchers at DBM and the Biozentrum
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pertinent medical literature • Contribute to data analysis (visualization and statistical analyses in R) and manuscript generation for publication in peer reviewed journals. • Contribute substantially
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University of California Office of the President | Oakland, California | United States | 13 days ago
Management, Organizational Development, or related certifications/advanced training Experience with financial systems (e.g., Oracle) and data visualization/analysis tools (e.g., Tableau) Bachelor's degree in
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project, including proposal drafting, project design, data collection, data analysis, reporting, and dissemination. They will serve as relationship managers for a variety of research partners and funders
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University of California, San Francisco | San Francisco, California | United States | about 2 months ago
are seeking a full-time Data Analysis Supervisor to become an integral part of our team. We offer a positive environment with dedicated colleagues in the Department of Neurology at UCSF. The Data Analysis
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, Data Science, Mathematics or other related field Three (3) or more years of experience maintaining data compilation, screening, validation and analysis utilizing a variety of software programs and
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the world, totaling petabytes of data and often requiring the deployment of 10,000s of cores in each analysis. Your role will focus on the development of user-facing web applications that automate research