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. Discusses study design with research teams and applies bioinformatics tools to visualize, analyze, manipulate or interpret molecular data. May build and maintain databases for processing and analyzing genomic
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, C++, and ideally MATLAB. Experience with MySQL databases, including creating, querying, and troubleshooting databases. Experience in data analysis and visualization. Strong attention to detail
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, organisation, and analysis of research data, namely through: the mapping and analysis of activist artistic practices related to reproductive health in Portugal in the post-dictatorial period (1974–present
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found on the Human Resources website and in the staff performance management system. Physical Requirements (With or Without Accommodations): • Visual acuity to read information from computer screens
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-driven visual design). Demonstrated experience in maintaining large and complex datasets, using advanced Excel techniques to ensure data quality, accurate matching, and consistency across sources
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linking data, analysis, and outputs from SFD-USA with SFD global projects Analysis (SFD-USA and SFD global data) ● Create analysis plans and perform (descriptive and statistical) analysis on existing SFD
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Resources Data Analyst to be responsible for developing employee reports and conducting analysis of significant complexity, including faculty and staff. Assignments support and inform California State
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of Teaching (Optional) Reference requirements 3-5 required (contact information only) References will be checked before an offer is made. Apply link: https://recruit.apo.ucla.edu/JPF10881 Help contact: Hr
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George Washington University | Washington, District of Columbia | United States | about 19 hours ago
an academic or research library setting Demonstrated experience or interest in data analysis using tools like Excel, Tableau, or other data visualization software Demonstrated collaboration skills, with a
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; development of original research; Development of a socioeconomic analysis of the cod industry in Portugal between the late 19th and 20th centuries; Data collection, processing, and analysis; Production of maps