Sort by
Refine Your Search
-
) 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
-
of large-scale geospatial and time-series datasets. The candidate will develop and evaluate multimodal AI models to characterize vegetation and land-surface dynamics and quantify ecosystem responses and
-
in the areas of Hydrological and Earth System Modeling and Artificial Intelligence (AI). The successful candidate will have a strong background in computational science, data analysis, and process
-
Postdoctoral Researcher in the fields of uranium chemistry and nuclear forensics. The role entails performing and leading cutting-edge research on nuclear fuel cycle-related materials with a focus on solid
-
traits, plant-microbe-soil interactions, physical and chemical soil properties, and organo-mineral associations. This candidate will directly support the Exploring Gulf Region Ecosystem Transitions (EGRET
-
implementation of constitutive models within commercial and/or open-source finite element software is required. Preferred Qualifications: Demonstrated expertise in multi-physics FE simulations is preferred
-
conduct organic synthesis, materials characterization, solvent extraction, and solid-phase separation studies to advance sustainable critical mineral recovery technologies. This position resides in
-
- or sorbent-based separation and purification; hollow-fiber or spiral-wound membrane-module fabrication and membrane-process scale-up; filtration, solvent or liquid-liquid extraction, solid-liquid or gas-liquid
-
to contribute to development of alloys with desirable advances in mechanical properties, thermal/electrical properties, and processability. A background in casting, additive manufacturing, solid-state processing
-
in the areas of Hydrological and Earth System Modeling and Artificial Intelligence (AI). The successful candidate will have a strong background in computational science, data analysis, and process