53 phd-software-testing-scholarship Postdoctoral positions at Oak Ridge National Laboratory
Sort by
Refine Your Search
-
. Basic Qualifications: A PhD in materials science and engineering or a related discipline completed within the last five years. A strong background in physical metallurgy Preferred Qualifications
-
to the implementation and perpetuation of values and ethics. Basic Qualifications: A PhD in inorganic, organic, polymeric, or physical chemistry or a closely related field, completed within the last five years. Preferred
-
scientists for large-scale model training, testing, and deployment. Publish research findings in high-impact journals and present results at national and international conferences. Engage with collaborators
-
changing needs Preferred Qualifications Experience in radiological risk assessment Experience in biokinetic model development Experience with Monte Carlo radiation transport software and applications
-
our core values of Impact, Integrity, Teamwork, Safety, and Service. Basic Qualifications: A PhD in Condensed Matter Physics, Materials Science, Chemistry, Physics, or a closely related science
-
respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in mechanical engineering, industrial engineering, electrical engineering, environmental
-
treat one another, work together, and measure success. Basic Qualifications: A PhD degree in material science, mechanical engineering, electrical engineering, robotics, or a related field completed within
-
multidisciplinary team of hydrologists, Earth scientists, and computational scientists to leverage leadership-class computing resources for large-scale model training, testing, and deployment. Contribute
-
, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in
-
/Responsibilities: • Design and test novel quantum algorithms for materials simulations. • Develop resource estimates for implementing these algorithms on quantum hardware • Perform hybrid quantum-classical