Sort by
Refine Your Search
-
Country
-
Employer
- Argonne
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Pennsylvania State University
- University of Aveiro
- AGH University of Krakow
- Bundesanstalt für Materialforschung und -prüfung (BAM)
- Carnegie Mellon University
- Chalmers University of Technology
- Institute of Science and Technology Austria (ISTA)
- KTH Royal Institute of Technology
- Oak Ridge National Laboratory
- Sorbonne Université
- University of Lund
- Universty of Aveiro
- 4 more »
- « less
-
Field
-
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
-
seminars for the general public. 6.1.3 - Criteria for the evaluation of the activities of program management for science, technology, and innovation, or experience in observing and monitoring the scientific
-
employees and conducts research and teaching mainly in electrical engineering and computer technology. We are located on LTH's campus in northern Lund. Within the Division of Electromagnetics and
-
APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
-
Postdoctoral Researcher in Semantic Knowledge Engineering & Interoperability in Materials Science in
Postdoctoral Researcher in Semantic Knowledge Engineering & Interoperability in Materials Science in the field of Materials Science, Physics, Computer Science, Data Science, Information Science
-
Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 2 months ago
fracture approaches # Documentation, analysis and publication of results in peer-reviewed journals and at international conferences Your profile # Completed PhD in Materials Science, Physics, Materials
-
of irradiated ceramics and alloys for tritium technology development using advanced experimental and computational methods. The researcher will perform characterization of model systems using techniques such as
-
written and oral, particularly for publications and international presentations. Ability to interact with collaborators from diverse disciplines and cultural backgrounds. Use of digital and computational
-
collaborations with theoretical/computational efforts focused on materials growth. Requirements include: a Ph.D. in Materials Science and Engineering, Nanomaterials, Nanotechnology, or a related field by the time
-
spans computational materials design, catalysis, energy materials, machine learning, and artificial intelligence. We offer a collaborative and international research environment with close interactions