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Field
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plants (WPPs). Work with black-box models from OEMs to develop techniques that rely on limited time-domain simulations. Disseminate research findings through peer-reviewed publications, conference
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stability assessment methodologies to real-world wind power plants (WPPs). Work with black-box models from OEMs to develop techniques that rely on limited time-domain simulations. Disseminate research
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transport modeling and machine protection strategies for the EIC accelerator complex. This position will focus on Monte Carlo simulations to characterize the radiation environment resulting from beam losses
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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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starts with a minimum of $63,968 The candidate’s main job responsibilities include: · Designing, testing, and evaluating state-of-the-art data-driven models based on large-scale atomistic simulation data
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processes in internal combustion engines (ICEs), such as fuel injection, combustion, heat transfer, etc. Improve, develop, and implement CFD sub-models necessary to enable predictive ICE simulations
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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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of innovative models that simulate the intestinal environment and study disease progression. Participate in peer-reviewed manuscripts in top scientific journals and contribute to scientific grant funding
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), Arabic, Tagalog, Farsi, French, or/and Yoruba. Position Overview Additive manufacturing (AM) is a transformational technology for fabricating complex metallic shapes directly from 3-D digital models
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effort on active research projects and publish and present research results. Research work will focus on Computation Fluid Dynamics (CFD) models involving multiphase reacting flow simulations with emphasis