Additionally, the position involves designing, implementing, maintaining, and integrating databases while managing a team of five dedicated staff members. They will collaborate with across the Institute to support data availability and storage through models, web databases, and scientific publications. PhD in Computer Science or a related field, with several years of experience in distributed databases, large-scale data management, and data archiving - Experience in planning, designing, and deploying scalable infrastructure for large datasets and databases, including containerization and orchestration technologies such as Docker, Kubernetes, MariaDB, PostgreSQL, Apache Cassandra, Neo4J, etc. Experience with AI/LLM integration for research applications, including RAG systems and vector databases Familiarity with multiple database platforms
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