-
simulation and analysis. As an ORNL postdoctoral fellow you will have access to state-of-the-art facilities for isotopic labeling, biophysical characterization, and X-ray diffraction, as well as access
-
, to identify and accelerate technological and policy options. Activities will involve: 1) data collection, processing, and quality assurance; 2) development and simulation of energy system models, data science
-
Postdoctoral Researcher - Microstructural Modeling and Characterization of High-temperature Ceramics
). The Postdoctoral Research Associate will contribute to the development of novel modeling and characterization frameworks that will be based on 1) simulation or characterization of the microstructures of ceramics
-
necessary for simulating and understanding complex, multi-scale systems. The group is part of the Mathematics in Computation (MiC) Section of the Computer Science and Mathematics (CSM) Division. CSM delivers
-
and simulation tools, such as spreadsheet-based process cost modeling, input/output modeling, or commercially available life cycle analysis tools such as SimaPro and openLCA. Excellent written and oral
-
experiments, and connecting to advanced theory and simulation. Lead the writing of research papers resulting from your work with support from the project team and collaborators, and present research results
-
Postdoctoral Research Associate - Low-carbon, Energy Efficient Envelopes for New and Existing Buildi
Duties/Responsibilities: Conduct research on low-carbon, energy efficient, and resilient envelopes for new and existing buildings. Perform simulations and laboratory and field experiments to evaluate heat
-
manufacturing technologies Proficiency in the use of industry standard modeling and simulation tools, such as spreadsheet-based process cost modeling, input/output modeling, and commercially available life cycle
-
, and execute and analyze high resolution ELM simulations to understand carbon storage and offset potential in SE forest ecosystems under different social-economic and land management scenarios