Sort by
Refine Your Search
-
at the intersection of applied mathematics, computational science, and high-performance computing. The successful candidate will help develop advanced scientific computing methods and deploy them on state-of-the-art
-
random drug testing program. About ORNL: As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation’s most pressing
-
for Computational Sciences (NCCS). NCCS Provides state-of-the-art computational and data science infrastructure coupled with dedicated scientific and technical professionals tackling large-scale science and
-
solutions to compelling problems in energy and security. We are seeking a Postdoctoral Research Associate who will support the Science Engagement Section in the National Center for Computational Sciences
-
the Quantum Sensing and Computing Group in the Computational Science and Engineering Division (CSED), Computing and Computational Sciences Directorate (CCSD), at Oak Ridge National Laboratory (ORNL). Major
-
Requisition Id 17144 Overview: Oak Ridge National Laboratory is the largest US Department of Energy science and energy laboratory, conducting basic and applied research to deliver transformative
-
Requisition Id 17119 Overview: The radioisotope program is the largest production and research portfolio within the Department of Energy Isotope Program (DOE IRP) and uses the unique facilities
-
with environmental, safety, health, industrial hygiene, and quality program requirements. Be able to wear PPE, such as but not limited to respiratory protection and anti-contamination clothing. Deliver
-
imaging of cells and tissues. This position resides in the Quantum Computing and Sensing Group in the Computational Science and Engineering Division (CSED), Computing and Computational Sciences Directorate
-
Qualifications: BS in a science, engineering, business administration or industrial-organization psychology with a minimum of two years experience. Possess an advanced level of knowledge in office computer systems