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researchers to translate models into usable tools and optimize simulation inputs. User Workflows & Interfaces: Develop intuitive interfaces (CLI/APIs) and streamlined workflows for simulations. Machine Learning
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APIs, and low-code development frameworks. The successful candidate will also play a key role in supporting the organization's planned migration to Oracle Fusion (Oracle Cloud ERP/HCM), contributing
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and maintain back-end data and computing services, including databases, APIs, and processing services. These services support applications used by scientists to find, access, and utilize data from
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language models (LLMs). Fluency in Python. Strong communication and writing skills. Preferred Qualifications Experience with astronomical data sets is advantageous, but not required. Experience with APIs
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reporting. Supports social media scheduling, posts, and analysis, and develops Google Analytics performance reports. Manages course product types, program categories, identifiers, pricing, payments
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to detail and accuracy. Ability to manage time effectively and meet deadlines. Proficiency in Microsoft Office or Google Workspace. Preferred Qualifications Graduate coursework or degree in a relevant field
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Experience with cloud computing environments (e.g., AWS, Google Cloud, or institutional equivalents) and using High-Performance Computing (HPC) clusters with the Slurm workload manager. Experience performing