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data and develop data-driven methods for predicting land loss and ecosystem transitions in wetland-rich landscapes of the Gulf Coast with a focus on coastal Louisiana. This candidate will directly
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Biogeochemistry. This researcher will use field observations and laboratory mesocosms to investigate how plant traits and soil properties confer resilience or vulnerability to disturbance in coastal wetlands
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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 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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at comparable sample illumination and acquisition time, progressing from reference samples to biological specimens. Collaborate with biology teams to image cells and tissues while evaluating sample integrity and
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field completed within the last 5 years. Preferred Qualifications: We are interested in candidates with general experimental research experience in quantum optics, optomechanics, optical cavities, and/or
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, and measure success. Basic Qualifications: PhD in Plasma Physics, Electrical Engineering, Nuclear Engineering, or a closely related field completed within the last 5 years, or expect to complete a PhD
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industries. You will also be involved in proposal writing with our scientists while taking the lead in publishing high impact papers. Major Duties/Responsibilities: Participate in the development and
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engineering or a related field completed within the past 5 years. Knowledge of nuclear reactor analysis R&D is required as demonstrated through research and associated publications. Experience using SCALE, VERA