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land loss and vegetation change at high spatial resolution Work closely with remote-sensing scientists, modelers, and empiricists across DOE laboratories and universities to address project objectives
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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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to science. Experience conducting field work independently or as part of a team. Contact for Position: Elizabeth Herndon ([email protected]) Special Requirements: Applicants cannot have received their Ph.D
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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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Particle Control (PEPC) group of the Fusion Energy Division at Oak Ridge National Laboratory. The PEPC group performs experimental and modeling work, focused on the boundary region of tokamaks, stellarators
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to support the design and deployment of advanced nuclear reactors. Work effectively individually and within a team to meet the requirements of projects. Communicate effectively the work performed through
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fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in mechanical engineering, computer science, or a related field completed within
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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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targeted at the key DOE Office of Science missions. Major Duties/Responsibilities: Work closely with ORNL researchers in using the resources of the OLCF effectively and efficiently Develop and port scalable
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engineering, mechanical engineering, or a field relevant to the job duties within the past 5 years. A strong background in mechanical behavior of materials is required. Experience in the development and