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numerical simulation. https://www.upv.es/entidades/SRH/conypi/A1270292.pdf Where to apply Website https://sede.upv.es/oficina_tactica/#/inicio Requirements Research FieldEngineering » Aerospace
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 4 days ago
science as part of the ERC Starting Grant project Incorwave, which aims to develop advanced numerical and mathematical methods for passive seismic imaging. The research will focus on two key-directions: (1
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expertise in numerical modelling. The post is available from 1st March 2026 for 12 months in the first instance and could be extended further. See http://rccs.hw.ac.uk/ for more details. Key duties and
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to use your mathematical skills to model and design optical systems for sustainable high-tech devices for billions of people? Do you like to develop and analyze numerical methods for partial differential
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available in the Department of Physics at the University of Idaho. The primary focus of this position is advancing numerical relativity methods for compact binary systems. Specifically, the scholar will
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Position in Theoretical Quantum Many-body Physics and Quantum Sensing at Indiana University Bloomington Fields: Quantum many-body theory, AMO–condensed matter interfaces, advanced numerical simulations
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Context Statement Position Overview A postdoctoral position is available in the Department of Physics at the University of Idaho. The primary focus of this position is advancing numerical relativity methods
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are looking for a Research Fellow to support research project. The role will focus on ultrasonic tomographic
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-chemical properties similar to conventional kerosene, their combustion behavior can differ significantly, requiring adjustments and optimization of current gas turbines (GT). In this context, numerical
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interaction, advanced numerical modelling, experimental techniques, sensor development, data-driven methods, and artificial intelligence for industrial applications in energy, process, and materials engineering