Sort by
Refine Your Search
-
environment. The successful candidate will develop and apply advanced machine learning techniques—including multimodal AI, computer vision, and large language models—to complex scientific and engineering
-
Requisition Id 16214 This position is onsite located in Oak Ridge, TN. Overview: We are seeking a Healthcare Data Analyst who will serve as a subject matter expert (SME) in healthcare data
-
-of-the-art computational and data science infrastructure coupled with dedicated technical and scientific professionals tackling large-scale S&T challenges across a broad range of scientific domains
-
. In addition, you will develop and leverage training data sets derived from years of ARM metadata records, as well as design and implement Large Language Model (LLM)-based conversational interfaces
-
computational mesh generation. In this role, you will apply your software engineering skills to develop and validate computational results that support large-scale, physics-based simulations across a variety of
-
ORNL, other national laboratories, and the hydropower stakeholder community at-large to create data, products, and tools for hydropower licensing Find, extract, and analyze data from governmental
-
compliance-driven or DOE-regulated environments. Facility with AI and large language models (LLM) tools to support analysis, documentation, reporting, and knowledge integration, consistent with data security
-
/Output Controllers (IOCs), Operator Interfaces (OPIs) and networking. Maintain EPICS services, including data archiving, alarming, and gateway services; monitor performance and plan upgrades as needed
-
comparative research across Mojo, Julia, Rust, and vendor toolchains. Basic Qualifications: Ph.D. in Computer Science, Computer Engineering, or related field. Experience with LLMs or agentic AI frameworks
-
health research projects. The research activities include HIPAA compliant research data that has been entrusted to ORNL by sponsors such as the National Cancer Institute. We work on some of the most