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supervised-learningneural-networksllmmachine-learningdeep-learninggenerative-aiglobusparallelizationperformance-tuningambernatural-language-processingpytorchtensorflowadministering-hpccluster-supportgpuhpc-getting-startednvidiabashenvironment-modulessshvimresearch-facilitationsoftware-carpentryc++ccompilingcudampiopenmpopenmpipythonscikit-learnsqlxmlbatch-jobsslurmjob-submissioncomputer-sciencedata-sciencecontainerssingularityspack

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generative-aicomputer-graphicslinear-programmingimage-processingparaviewnvidiascriptingaffiliationscampus-championsmentorshipresearch-facilitationastronomyastrophysicsatmospheric-physicscosmologyearth-sciencesquantum-computing

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MICHAEL RAMSHAW

University of Utah
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CCMNet was developed in response to the NSF RCN:CIP solicitation and is funded by NSF Award #2227656. These efforts bring novel structure and consistency to the development of the CIP workforce, enabling a more advanced CIP workforce better able to support today’s research needs, while anticipating future needs.


What is a CIP? CI Professionals is a term developed by the National Science Foundation (NSF). See Transforming Science through Cyberinfrastructure.

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