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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 6 hours ago
be given the opportunity to copy over what they had previously submitted. All documents must be in English or include an official English translation. If you have questions before, during, or after you
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. The project combines quantitative modelling of markets and the wider energy system with empirical analysis of how flexibility is created, priced, and traded by market participants. A central objective is to
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will participate in conducting multiscale modeling such as quantum mechanics density functional theory calculations, molecular dynamics simulations, Monte Carlo simulations, and/or machine learning
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, thermal management of batteries, battery lifetime estimation and development of experimental setups. Experience with the modeling, simulating and building experimental setups related to one: Batteries SoX
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the VITAL consortium and contribute to patient-specific or cohort-level virtual human twin simulations. You will also contribute to patient-specific model calibration workflows, including sensitivity analysis
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models). Climate emulators for wave and sea level simulations. Use of Linux-based numerical computing servers. Specific Requirements Knowledge: Coastal morphodynamic processes at different time scales
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. The project will consider different types of epidemic models, including spatial and individual-based models. Methodologically, the work will focus on multi-objective, hierarchical, and explainable reinforcement
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Postdoctoral Researcher you will work on the following: Eco-geomorphological hydrodynamics modelling framework for coastal nature-based solutions (NBS) Using established modelling platforms such as Delft3D
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. Experience with the modeling, simulating and building experimental setups related to one: Batteries SoX, AC and DC Grids, EV charging. Excellent English language skills Experience with managing large projects
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time, building and validating ML/AI-based prediction models, creating field zones tied to management actions supported by farm economics, and developing scaling-up solutions for different management