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implications of decarbonization pathways. The postdoctoral associates will collaborate with an interdisciplinary team of economists, energy / land / water / air / infrastructure modelers, climate scientists
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As a postdoctoral researcher, your primary responsibilities will be: Develop machine learning and deep learning models, with a strong focus on computer vision, for the characterisation and
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
members and visitors as needed. Job Requirements REQUIRED: Ph.D. in Chemical Engineering, Mechanical Engineering, Applied Mathematics or related disciplines; demonstrated ability in mathematical modeling
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background in mathematical optimization and modeling • Excellent programming skills (Python, Matlab, Julia, or similar) • Interest in energy systems, electric mobility, and battery technologies • High level of
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 16 hours ago
of Yuhua Duan. This project will be hosted at the NETL Pittsburgh, PA campus. Although material modeling with artificial Intelligence/machine learning (AI/ML) applications and experimental instrumental
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05.07.2026, Academic staff Our research combines mathematical modeling, numerical simulation, scientific computing, and data-driven methodologies to improve the predictive capabilities and
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 15 hours ago
, and critical mineral extraction. The development of accurate models for process design and scale-up requires reliable characterization of material properties relevant to microwave heating. NETL is
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will work at the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), within the Department of Microelectronics . Here, you will join an interdisciplinary research environment
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collide, condense and evaporate. Guided by the results from the field campaigns, a new Microphysics Informed Large-Eddy-Simulation (MiLES) model will be developed. The tested and verified MiLES will be
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Qualifications: Doctoral degree. Applicants background may include studies in: Computational Science, Computer Science, Applied Mathematics, Engineering and Physics. Additional Qualifications: Expertise (or desire