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and code. Competences and Skills: • Experience in MLOps, cloud/edge computing, software architectures, data engineering/ML tooling, and reinforcement learning. • Good collaboration capabilities
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practices in computational experiments. Experience with source code version control (Git/GitHub), automated testing (CI/CD), and DevOps practices. Experiences in Linux and other OS that are the backbone
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the application and integration of data, code, and computational tools in the research at the departments. Assisting with practical tasks including access to high-performance facilities, server/data management, and
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