, including Python and R Experience with next-generation sequencing (NGS), omics data analysis, and open-source omics analysis... models, clustering algorithms, and graph-based approaches for biological data Experience with bioinformatics visualization...
creating AI solutions like Azure AI Foundry, MS Azure Open AI Studio, Azure SQL, and Open Source LLMs like Meta's LLama family...: Active DOE Q clearance. Understanding of multidimensional and tabular modelling, vector databases, Graph DB. Experience...
creating AI solutions like Azure AI Foundry, MS Azure Open AI Studio, Azure SQL, and Open Source LLMs like Meta's LLama family...: Active DOE Q clearance. Understanding of multidimensional and tabular modelling, vector databases, Graph DB. Experience...
databases, graph systems, and AI workloads, applying academic and open-source innovation to real-world engineering. ​ ​​Bachelor... neighbor search, semantic query operators, and graph-native features. Architect in-database support for embedding pipelines...
/ Security Analytics – Trellix SIEM / Helix (Rule Authoring / Dashboard Creation / Log Source Onboarding / SOAR Playbook... Integration Across Platforms (Tenable / Purview Graph API / Trellix API) ITSM Integration – ServiceNow for Vulnerability Ticket...
will develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets related... to understand the source and output goals of datasets. Translate customer goals into quantitative formulations. Qualifications...
. Even better, it's 100% open source. Many of the world's leading enterprises are migrating from legacy RDBMSs (like Oracle, SQL Server.... NoSQL Databases: Familiarity with NoSQL databases. Open Source & Research: Contributions to open-source database projects...
, and governed AI;the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source...About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the...
-friendly, reproducible research code (e.g., packages, documented pipelines, open-source contributions, or similar). Written... * Experience with one or more of the following: knowledge graphs, graph machine learning, link prediction, representation learning...
AI and the Software Delivery Knowledge Graph, the Harness Platform applies deep context and intelligent automation across the... lifecycle by securing builds, artifacts, and dependencies from source to deployment. It provides end-to-end visibility, policy...