Sort by
Refine Your Search
-
Argonne National Laboratory to advance learning-enabled imaging methods. This position offers a unique opportunity for candidates with backgrounds in electrical engineering, computer science, applied
-
activities in compliance with Argonne's safety policies, Safeguards and Security policies, work rules, and safe practices Position Requirements Completed Ph.D. in Computer Science, Materials Science
-
://github.com/AD-SDL/MADSci AD-SDL organization on GitHub: https://github.com/AD-SDL Position Requirements Minimum of a Ph.D. in Computer Science, Materials Science, Physics, Chemistry, or a related field
-
, benchmarking and deploy them for applications. The ideal candidate would be a PhD in geophysical sciences, computer science, or machine learning with experience in developing and verifying deep learning
-
The Nuclear Science and Engineering Division at Argonne National Laboratory seeks a Postdoctoral Appointee to conduct R&D on metallic materials for extreme environments relevant to nuclear energy
-
is extended yearly. Position Requirements A recent PhD (within 5 years) in computational chemistry, chemistry, materials science, physics, computational science, computer science, engineering, or a
-
compliance with Argonne’s ES&H policies, Safeguards and Security policies, work rules, and safe practices Position Requirements Ph.D. in Materials Science, Physics, Chemistry, Computer Science, or a related
-
capable computers. The division aims to build lab-wide cross-cutting simulation application capabilities integrating with mathematics, computer science, domain science, and advanced computing architectures
-
0-5 years in computer science, mechanical engineering, artificial intelligence, or related engineering disciplines Experience with state of the art AI methods for robotics Experience with robotics
-
engineering, materials science, polymer science, physics, computer science, and/or data science Demonstrated accomplishments in materials informatics, scientific machine learning, or AI-guided