53 algorithm-development-"Prof"-"Prof"-"Prof" Postdoctoral positions at Oak Ridge National Laboratory
Sort by
Refine Your Search
-
on developing energy efficient and cost-effective materials and processes for clean energy applications. The successful candidate will focus on problems related to the separation and recovery of critical
-
photosynthesis to join the new pilot study of Generative Pretrained Transformer for genomic photosynthesis (GPTgp). The GPTgp project aims to develop a foundational holistic model of photosynthesis that will scale
-
Requisition Id 15400 Overview: We are seeking a Postdoctoral Research Associate – AI for Operational Safety who will focus on developing AI solutions for several problems related to operational
-
-performance polymer nanocomposites, the development of novel thermally conductive adhesives, thermally conductive interface materials/polymer nanocomposite and their manufacturing, and development of polymer
-
, Neutron Sciences Directorate at Oak Ridge National Laboratory (ORNL). The qualified candidate will study, simulate and develop software for beam transport and beam dynamics in SNS superconducting linac
-
/Responsibilities: Develop and apply AI foundation models for hydrological and Earth system modeling, with emphasis on improving predictive capabilities for compound flooding in coastal regions. Design and implement
-
global analyses relevant to advanced energy and manufacturing technologies. MEERA is currently supporting a multi-laboratory DOE Geothermal Technologies Office (GTO) project to develop an independent
-
the aim of developing pulse-field measurements at CORELLI at SNS. This work will be conducted collaboratively with scientists within ORNL and from external universities, providing an opportunity to work in
-
Development (NFD) Section within the Nuclear Energy and Fuel Cycle Division. The PFF Group is a global leader in coated particle fuel research for advanced reactors (e.g., tristructural isotropic (TRISO) coated
-
binding and selectivity manifested in improved separations. Develop and evaluate statistical mechanical and machine learning tools for studying molten salts using the leadership-class high-performance