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design principles and accessibility standards. Experience with data visualization tools and libraries (e.g., D3.js, Chart.js). Familiarity with backend integration (RESTful APIs, GraphQL). Excellent
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individually. Additional information about the Fashion Institute of Technology can be found at: http://www.fitnyc.edu .
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mathematics, financial mathematics, stochastics and statistics. Posting Information Work Hours Position Category Full Time Posting Date Closing Date Quicklink for Posting https://iit7.peopleadmin.com/postings
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management in REDCap and development of visualization dashboards Generation of result reports and communication to participants Support in the integration of data from healthcare registries (Electronic Health
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assemblies in sperm in a near-native state using cryo-ET (‘visual proteomics’), (ii) developing expansion microscopy approaches for robust labeling and higher-throughput mapping of newly identified components
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University of California Agriculture and Natural Resources | Davis, California | United States | 4 days ago
Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 13-Jan-26 Location: Davis, California Type: Full-time Categories: Academic/Faculty Computer/Information Sciences
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
; identify and resolve data discrepancies; highlight reporting concerns such as governance or scheduling conflicts; transform and analyze data using spreadsheets and visualization tools; collaborate with RAS
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single cell sequencing approaches. Analysing and visualizing high-dimensional data. Engineering of T cell receptors with CRISPR-Cas9. Testing B and T cell priming conditions in organoids and mouse models
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membership to Academic Impressions, LinkedIn Learning, and UT Dallas Bright Leaders Program. Visit https://hr.utdallas.edu/employees/benefits/ for more information. If you are looking for a rewarding career
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efficiency. Experience working with R or Python data science tools to analyze and visualize health care data and to develop data pipelines to support machine learning model development. Experience working with