65 data-"https:"-"https:"-"https:"-"https:"-"Stanford-University" positions at HHMI in United States
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, hands-on work. We share our methods, results, and tools with the scientific community. About the Role: HHMI’s Janelia Research Campus Information Services serves the needs of researchers at Janelia in
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. About the role: We're seeking a skilled Data Engineer to drive scientific innovation through robust data infrastructure. In this role, you’ll design, develop, and optimize scalable data pipelines and
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is to discover governing equations from experimental data to generate mathematical models of cellular signaling dynamics. You will help design algorithms for data-driven model discovery, test proposed
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person who is interested in combining both experiments and computation, with some experience and comfort with both animal behavior and neural data. The details of the project(s) are flexible, and
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. Operate and maintain fluorescence microscopy systems, including FLIM. Work closely with AI and data analysis teams to ensure data quality, data annotation, and data transfer. Optimize workflows to improve
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up on procurement orders. Reconcile items to ensure accuracy of information. Collaborate with other departments at HHMI as well as vendors. What You Bring: Current enrollment in a bachelor’s degree
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spectrometry-based data analysis, particularly in quantitative label-free and/or stable isotope labeling proteomics data analysis, global and targeted metabolomics and lipidomics, MS imaging, as
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support for the department’s CRM and document management systems (DMS), including system maintenance, issue resolution, testing, and coordination with IT. Maintain CRM and DMS data as Data Steward, ensuring
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–based approaches. We work primarily with the model system C. elegans and apply both computational and experimental methods to uncover fundamental principles of brain function. For more information about
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information with discretion, diplomacy, and professionalism, and enthusiastic about gaining experience and growing as a communicator. This is a full-time (40 hours/week) hybrid internship that will report to