Sort by
Refine Your Search
-
. Experience with large language models, natural language processing, and generative AI tools Self-disciplined work ethic and eagerness to tackle challenging research problems. Experience with heath care
-
or coursework involving natural language processing (NLP) or large language models (LLMs). Familiarity with embeddings, prompt development, semantic search techniques, or vector databases. Exposure to retrieval
-
panels for natural exposure tests. Excellent written and oral communication skills. Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across
-
scientific knowledge and develop innovative strategies and technologies that strengthen the nation’s leadership in sustaining Earth’s natural resources. Our R&D staff conduct research, develop technology, and
-
Requisition Id 15939 Overview: We are seeking a Natural Resources Professional who will focus on conducting activities assigned to the ORNL Natural Resources Management Team (NRMT) by U. S
-
ML frameworks for predicting microbial phenotypes and interactions from genomic data, build AI agent systems that enable researchers to interact with complex datasets through natural language, and
-
process-based modeling of hydrologic or land surface processes. The WSMG group develops advanced surface/subsurface integrated hydrologic and reactive transport models, works with other groups to compare
-
scientific knowledge and develop innovative strategies and technologies that strengthen the nation’s leadership in sustaining Earth’s natural resources. Our R&D staff conduct research, develop technology, and
-
process improvement methodologies, as well as the ISO 9001 Quality Management System, are considered pluses. Exceptional teamwork, statistical skills, and a positive, meticulous nature with a penchant for
-
experience. Understanding of biogeochemical and ecological processes. Programming experience in Fortran, python, R, or a related language. Experience in geospatial and/or time series data analysis. Evidence of