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Field
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design, modeling, mapping, coastal planning and management, or related activities. Demonstrated understanding of interactions between the built environment, coastal processes, and natural environments
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, or a closely related field. Preferred Qualification: Research experience in biomedical implants, animal models, and aging/Alzheimer’s disease. Research experience in biomaterials, neuroscience
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changes in microgravity conditions. d. Ability to perform cell culture and tissue models such as 3D tissue models and microfluidic systems to simulate microgravity. e. Understanding and experience with
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working in radiological environment. Experience in heat transfer and thermal modeling/simulation using finite-element analysis (FEA) or other software. Ability to work within a multi-disciplinary team
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discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials. Candidates who are nearing completion
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. Key responsibilities include: Simulating regional air quality using numerical models (e.g., WRF-Chem, CMAQ) Improving wildfire emission estimates and smoke plume rise representation Evaluating model
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theories. Develops advanced analytical models and systems and provides solutions and analyses to support strategic and tactical decisions. Adheres to University and unit-level policies and procedures and
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, energy engineering or a closely related discipline. Experience in modeling & simulation of three-dimensional multiphase turbulent reacting flow applications using 3-D CFD codes (e.g., CONVERGE, OpenFOAM
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logging and analysis and manipulating well-log data and integrating rock observations to develop basin-scale models. Relevant peer-reviewed publications and conferences papers on Lata Paleozoic Ice Age
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, including hybrid simulations coupling machine learning with numerical methods, multiscale discretization, nonlocal closure modeling, structure preservation, multilevel and multifidelity machine learning