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accomplish multiple tasks within deadlines and adapt to ever-changing needs Preferred Qualifications: Experience in radiological risk assessment Experience in biokinetic model development Experience with
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workflows. Major Duties/Responsibilities: Participate in the design, implementation, and deployment of scalable AI/DL models for power grid systems, including surrogate models and foundation-model workflows
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an integrated model–experiment (ModEx) approach accelerated by artificial intelligence (AI) to advance predictive understanding of how plant–microbial–soil interactions vary across inundation and
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parallel codes. Experience with using high performance computing for lattice model simulations. Experience working in a multi-disciplinary research environment. Demonstrated written and oral
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observable reconstruction. Experience with uncertainty quantification, covariance modeling, sensitivity and robustness analysis, Bayesian inference, inverse problems, parameter estimation, or model
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energy simulation and analysis, including model development, calibration, and application. Experience with computational methods including steady-state modeling, dynamic simulation, computational fluid
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-institutional collaboration focused on disturbance-driven ecosystem transitions and their impacts across the United States Gulf Coast. EGRET employs an integrated model–experiment (ModEx) approach
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appropriate to the scientific questions. Use selective deuteration, contrast variation, and model material systems to resolve individual components and interfaces in multicomponent materials. Integrate
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be expected to commit to ORNL’s Research Code of Conduct. Our full code of conduct and a statement by the Lab Director’s office can be found here: https://www.ornl.gov/content/research-integrity