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activity will focus on the development and application of numerical methods for thermal-hydraulic analysis at both the system and component levels. The work will involve analyzing operating, transient, and
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian We are looking for a Research Associate to conduct numerical modelling
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, microplastics; by means of numerical and experimental approaches including high-performance computing, data science methods via machine learning/AI and digital twins, enhancement, development and of application
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by Prof. Andrzej Zdziarski . The main task of the postdoc will be to investigate accretion flows onto spinning black holes by means of numerical simulations in collaboration with Dr. Hab. Krzysztof
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corona and combines high-resolution solar observations with numerical modelling. The successful candidate will contribute to the observational aspect of the project using multi-vantage-point observations
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conduct research on numerical methods for partial differential equations, with a particular focus on applications in engineering, physics, life sciences, and earth sciences. The research will focus
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for the clean, efficient, and fuel-flexible use of ammonia-based fuels in gas turbines. The research approach combines high-fidelity numerical simulations and turbulent combustion modeling. A closely related
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, investigating cooperation, production networks, supply chains, and industrial coalitions through multilevel evolutionary game theory. Expected outputs include theoretical models, numerical simulation tools, peer
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | about 9 hours ago
Country with easy access to numerous hikes, bike trails, lakes, and rivers for those who enjoy the outdoors, as well as its micropolitan, family-centric atmosphere with big city amenities including the San
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an integrated field and numerical modeling approach. Your tasks are to: - reprocess and jointly model the available regional magnetotelluric (MT), gravity and magnetic data to develop an initial model