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) Assist the Data Analytics Specialist in developing and maintaining data pipelines (utilising Python and SQL) Maintain and optimise web and mobile tagging using Adobe Launch to ensure accurate attribution
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application components with HTTP APIs . Experience writing and documenting high-quality code using version control systems (e.g., Git, SVN, etc.). Experience with continuous integration tools (e.g., Jenkins
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involving spatial characterization of cells and genes in the tumor microenvironment of breast and bladder cancers. The candidate should be proficient in Python with a familiarity of specific libraries/APIs
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circumstances. Is comfortable using digital learning tools and platforms such as Python, VS Code and Tableau. Holds, or will soon complete a doctorate in Engineering, Physics, Computer Science, Mathematics or a
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to changing needs. Is confident using digital learning tools and programming languages such as R, Python and C++. Holds, or will soon complete, a doctorate in a relevant discipline aligned with Data Science
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curATime (Cluster for Atherothrombosis and Individualized Medicine ; https://curatime.org/ ) a Clusters4Future initiative funded by the German Federal Ministry of Research, Technology and Space (BMFTR
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& Responsibilities: For more information about the lab, please visit: https://sites.wustl.edu/tanglab/research/ . Assists with research studies, experiments and assays, including collection of data, preparation
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, ventilation rate, colour change or similar). C3 Strong quantitative and data-handling skills, including experience using R, Python, or equivalent software for statistical analysis and visualisation. C4 Ability
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proficient in R or Python, and SQL programming. APPLICATION PROCEDURE: Apply online at https://uva.wd1.myworkdayjobs.com/UVAJobs and search for R0079651. Attach a cover letter, a detailed curriculum vitae, a
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learning, statistical modeling, and modern AI methodologies Strong programming skills, preferably in Python and common data analysis frameworks Experience in designing, conducting, and documenting data