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data are in the form of codes from standardized coding systems, such as SNOMED-CT. These codes need to be converted to features in some way prior to being used in analysis. One way of doing this is to
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enterprise architecture, data governance, and integration—particularly within Azure or similar ecosystems. Experience with intelligent automation, low-code/no-code platforms, or AI policy development would be
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great documentation so we deliver reliably at pace. You’ll turn manual tasks into automated pipelines, introduce and maintain configuration-as-code (e.g. Terraform, Ansible), and keep our environments
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