Sort by
Refine Your Search
-
sustainable manufacturing, including polymers, biobased and biological materials, chemical formulations, separations, and recycling systems. Apply simulation and modeling (e.g., molecular modeling, process
-
members, world-leading user facilities, and an extraordinary breadth of expertise spanning neutron science, computational science, materials science, nuclear energy, isotopes, biological and environmental
-
more than 1,000 experiments in the physical, chemical, materials, biological and medical sciences for more than 3,000 visiting scientists. To learn more about Neutron Sciences at ORNL go to: http
-
Requisition Id 16161 Overview: We are seeking a Postdoctoral Research Associate who will focus on advanced scanning probe microscopy to study the dynamics of ferroic systems, including ferroelectric and ferroelastic materials, under external stimuli such as electric fields, light, strain, and...
-
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), Neutron Sciences Directorate at Oak Ridge National Laboratory (ORNL). As part of the team, you will...
-
Discovery Section, Environmental Sciences Division, Biological and Environmental Systems Science Directorate, at Oak Ridge National Laboratory (ORNL). Major Duties/Responsibilities: Full stack software
-
Sustainable Systems Section, Environmental Sciences Division, Biological & Environmental Systems Science at Oak Ridge National Laboratory (ORNL). Major Duties/Responsibilities: Design experiments and perform
-
success. Basic Qualifications: A BS degree in health and safety, industrial hygiene, chemistry, biology, engineering, operations, etc.) or a related discipline. A minimum of 8 years of experience in
-
performance and availability of funding. Overview: We are seeking a Laboratory Technician who will focus on analytical and biological laboratory work. This position resides in the Biodiversity and Ecosystem
-
, and biological systems. ORNL’s computational science research efforts enable scientists to efficiently implement these models at the extreme scale of computing and to store, manage, analyze, and