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); experience with cloud computing platforms (e.g., AWS, GCP, Terra) is a plus · Experience developing and training deep learning models, ideally with fluency in PyTorch or an equivalent framework, is a
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scalable bioinformatics pipelines on cloud-based infrastructure. The Research Fellow will be responsible for the code base supporting the large-scale genomic processing and analysis pipelines at the SMaHT
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discipline. Additional Qualifications Experience with running relevant numerical models (GCMs, mesoscale cloud-permitting or large eddy simulations) is desirable. Special Instructions Interested candidates
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. Familiarity with Salesforce, Marketing Cloud, iwave and CMS platforms. Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint) and Google Workspace. Knowledge or interest in science, international
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. Familiarity with Salesforce, Marketing Cloud, iwave and CMS platforms. Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint) and Google Workspace. Knowledge or interest in science, international