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) 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
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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
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Requisition Id 17095 Overview: Oak Ridge National Laboratory (ORNL) is the largest US Department of Energy science and energy laboratory, conducting basic and applied research to deliver ground
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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
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general business skills. Preferred Qualifications: Demonstrated ability to multi-task, display initiative, and solve problems. Experience with SAP Ariba procurement system. Solid understanding of the ORNL
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instrumentation and/or accelerator physics, or similar instrumentation. Experience in software development. Working knowledge of electronics hardware. Preferred Qualifications: A solid understanding of physics
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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
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procedures. Strong communication and reading skills, including comprehension of technical documentation. Solid mathematical, scientific, mechanical, and logical reasoning abilities. Ability to interact
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interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Basic Qualifications: A PhD in Earth and Environmental Sciences, Ecology, Biosciences, Botany, Geosciences, or a related
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conduct organic synthesis, materials characterization, solvent extraction, and solid-phase separation studies to advance sustainable critical mineral recovery technologies. This position resides in