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<div><span style="color: rgb(69, 69, 69); font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 16.25px; line-height: 19.5px; widows: 1; background-color: rgb(255, 255, 255);">Earth Lab is working with the university’s Research Computing group
(</span><a href="https://www.rc.colorado.edu/" rel="nofollow" style="box-sizing: border-box; text-decoration: none; transition: color 0.1s linear; -webkit-transition: color 0.1s linear; color: rgb(26, 25, 26); font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 16.25px; line-height: 19.5px; widows: 1; background-color: rgb(255, 255, 255);">https://www.rc.colorado.edu</a><span style="color: rgb(69, 69, 69); font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; font-size: 16.25px; line-height: 19.5px; widows: 1; background-color: rgb(255, 255, 255);">)
to find a Research Data Analytics Specialist to join its dynamic team. This specialist will help develop Earth Lab’s Analytics Hub, a state-of-the-art computing facility that leverages existing cyber-infrastructure investments and houses scientific support
staff and specialists who assist researchers and students with all data management and visualization needs. Specific job responsibilities include: i) designing and implementing advanced analytical solutions for Earth Lab’s scientific researchers and working
groups; ii) consulting, educating, and advising CU scientists in the use of advanced quantitative tools on Earth Lab’s computing systems, to address leading-edge, synthetic analyses in answering global change questions in various physical sciences; iii) developing
and leading training modules, workshops, or courses designed to educate researchers on analytics tools available for their research; and iv) documenting code and approaches for use by other projects and researchers. See full job ad for specific qualifications
desired.</span></div>
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<div><a href="https://cu.taleo.net/careersection/2/jobdetail.ftl?job=02751&lang=en&sns_id=mailto">https://cu.taleo.net/careersection/2/jobdetail.ftl?job=02751&lang=en&sns_id=mailto</a></div>
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<div><span class="" style="font-family: 'Times New Roman';">---------------------------<br>
Shelley L. Knuth, PhD<br>
Research Computing<br>
597 UCB<br>
Boulder, CO 80309</span></div>
<div><span class="" style="font-family: 'Times New Roman';">(303) 735-3886</span></div>
<div><span class="" style="font-family: 'Times New Roman';">Shelley.Knuth@colorado.edu</span></div>
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