51 post-doc-organic-electronics Postdoctoral positions at Oak Ridge National Laboratory
Sort by
Refine Your Search
-
planning principles and frameworks that can be applied to various urban environments. Monitor and evaluate multi-energy-system integration solutions to ensure they comply with regulations and standards
-
interfacial reactions within energy storage materials. In addition, the applicant will be expected to help train new scientists (graduate students, post-BS, and post-docs) with suitable laboratory procedures
-
contribute to developing and improving the performance of next-generation thermal systems—including HVAC, water heating, and data center cooling—at both the system and component level. This position resides in
-
) to work on the Terrestrial Ecosystem Science Scientific Focus Area (TES SFA). The successful candidate will contribute to the development and evaluation of the Energy Exascale Earth System Model's land
-
) to work on the Terrestrial Ecosystem Science Scientific Focus Area (TES SFA). The successful candidate will contribute to the development and evaluation of the Energy Exascale Earth System Model's land
-
multidisciplinary team. Excellent interpersonal, oral, and written communication skills. Preferred Qualifications: Experience with AI/ML approaches for spatiotemporal or Earth system data, including generative AI
-
electronics wastes. In this effort, the candidate will have a direct impact in informing the U.S. Department of Energy’s approach to e-waste recycling. The second approach involves supporting manufacturers and
-
Employee Discounts. If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: [email protected] . #LI-DC1 This position will remain
-
simulations in fusion devices. Support coordinated multi-physics simulations of fission reactor core, fusion device blankets, and other system components. Develop reduced-order calibration approaches and apply
-
characteristics and system-level requirements, and their suitability for scientific applications. The candidate will develop modeling and simulation capabilities to quantitatively evaluate quantum, classical, and