36 dynamic-mode-decomposition Postdoctoral positions at Oak Ridge National Laboratory
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(NSSD). In this role, you will conduct fundamental research into the integration of Bayesian methodologies with system dynamics modeling, advancing statistical methods and the open-source scientific
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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 16949 Overview: We are seeking a Postdoctoral Research Associate who will focus on efforts related to gas dynamics, fluid flow, and mass transfer. This position resides in the Applied
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Requisition Id 16647 Overview: We are seeking a postdoctoral research associate who will focus on the physics of nonequilibrium dynamics in many-body systems. This position resides in the Quantum
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their electrochemical performance with chemical change. This position resides in the Chemical Dynamics Group in the Chemical Sciences Division (X060), Physical Sciences Directorate (PSD) at Oak Ridge National Laboratory
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-reviewed journals in a timely manner. Ensure compliance with environment, safety, health, and quality program requirements. Maintain strong dedication to the implementation and perpetuation of values and
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, optical spectroscopy, and scanning probe microscopy. Advance capabilities for specialized scanning probe microscopy methods Work as part of a dynamic team conducting research that advances and develops
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motivated and talented postdoctoral research associate(s) to join our dynamic team. This role lies at the exciting intersection of High-Performance Computing (HPC) and Artificial Intelligence (AI) at scale
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: Develop physics-based, data-driven, and hybrid (physics-informed ML) models of thermal systems to capture dynamic thermal behavior Validate models against experimental data and refine model accuracy and
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component (ELM) and its peatland-specific configuration (ELM-Peatlands), with a focus on improving the representation of nutrient cycling dynamics and their coupling to hydrological and ecosystem processes