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-carbon electric power systems, taking into account wake interactions between individual wind turbines. The project focus is on how to generate and utilize reduced-complexity predictive models for windfarm
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: Mathematical Modeling: Develop mathematical models to simulate and optimize the entire waste management chain—from collection to treatment. Data Integration and Analysis: Integrate real-time and historical data
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Max Planck Institute for Plasma Physics (Greifswald), Greifswald | Greifswald, Mecklenburg Vorpommern | Germany | about 6 hours ago
-Institute for Plasma Physics in Greifswald offers within the division Stellarator Reactor Studies a PostDoc-position for a Physicist or Engineer (m/f/d) for the development of computational models
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) mathematics, physics, or a related STEM fields. Job Description: The Division of Biomedical Informatics and Data Science (BIDS) within the Department of Health Outcomes and Biomedical Informatics (HOBI
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. Successful applicants must have a PhD in a field related to survey methods techniques and transport demand modelling and demonstrated experience with state choice experiments, discrete choice models, virtual
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for the analysis of nonlinear phenomena in adaptive dynamical networks with applications to restoration ecology. Adaptive dynamical networks are mathematical models of coupled systems where both the systems
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] Subject Areas: Applied Mathematics, numerical methods, simulation and modelling Appl Deadline: 2025/05/31 11:59PM (posted 2025/02/13) Position Description: Position Description The TUM School
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The Role The Department of Mathematical Sciences invites applications for a 2-year postdoctoral position beginning in October 2025. The successful candidate will work with Dr Ben Hoare and other
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working at the University of Arizona and relocations services, please click here . Duties & Responsibilities Develop novel ML / AI models and techniques for analysis of longitudinal time series data
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(e.g., Statistics, Mathematics, Physics). You will be passionate about science, hardworking, and excited to learn and improve skills in an outstanding research environment. You will be part of a