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stress contagion and collective motion, as well as survey data of emotional states and personality metrics. Modeling efforts will focus on agent-based approaches, which may include both simulation studies
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: Expert on steels and steel welding or additive manufacturing Develop advanced machine learning framework to combine different modality and fields of data Conduct CALPHAD-based simulations in a high
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at Stony Brook (in Mathematics, IMS, and SCGP) Location: Stony Brook University Open Date: Sep 16, 2024 Deadline: Nov 15, 2024 at 11:59 PM Eastern Time Description Stony Brook University has numerous
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network systems. • Improve, develop, and use first-principles numerical modeling tools of heat and mass exchangers and other thermal components and systems for building envelopes and HVAC systems such as
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 19 days ago
other sciences. This instructional mission is supported by a strong managerial, administrative, and technical staff. Duties of these employees range from budget planning and management for the numerous
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simulation concepts with experience in wildfire modeling and loss assessment and regional planning of communities at the wildland-urban interface (WUI). Successful candidates will contribute to the development
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 19 days ago
meteorology, and numerical modeling techniques with an understanding of local-scale physical and chemical processes from multiple emissions sources as represented in current models, and quantitative analysis
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 19 days ago
or Equivalent Required Qualifications, Competencies, and Experience - Background in microscale meteorology, and numerical modeling techniques with an understanding of local-scale physical and chemical
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, numerical simulators with coupled physics (flow/reactive/geo-mechanics/thermal) have been developed and often applied to predict the long-term fate of the injected carbon dioxide to ensure its secure
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behavior, considering emotional, social, and rational agent architectures with a particular focus on computational simulations of the spread and evolution of innovations and their impact on innovation-driven