Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
attracting scientists from all over the world conducting world-class research in physical, chemical, and materials sciences. More details about the instruments and their scientific impact can be found at https
-
visualization technologies, programming systems and environments, and system science and engineering. Major Duties/Responsibilities: The position requires collaboration within a multi-disciplinary research
-
the data consumers, i.e., scientists who need the data. Major Duties and Responsibilities: The position requires collaboration within a multi-disciplinary research environment consisting of mathematicians
-
to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs. Excellent written and oral communication skills. Special
-
Demonstrated research experience with HPC, AI/ML and/or distributed systems techniques. Proficiency in programming languages such as Python, C++, or similar, as well as experience with HPC environments and
-
the laboratory. Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs. Special Requirements: Applicants
-
Engineering Development Center, ORNL’s other nuclear facilities, and an assemblage of world-leading scientists and engineers. Please visit https://www.ornl.gov/directorate/isotopes for more information about
-
Requisition Id 16020 Overview: We are seeking a Postdoctoral Research Associate to reside within the Sample Environment and Labs Section, which is part of the Neutron Scattering Division (NSD
-
opportunities; model proper Environment, Safety, Security, Health, and Quality practices; and ensure a diverse and inclusive work environment where every employee feels safe, heard and appreciated—a workplace
-
, multidisciplinary team environment. Preferred Qualifications: Knowledge of uncertainty quantification methods and causal inference for complex environmental systems. Experience with large-scale Earth system