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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 2 months ago
position on ocean modelling within the ERC Stuod (Stochastic transport in ocean dynamics). Odyssey (for Ocean DYnamicS obSErvation analYsis) is a recently created team involving researchers from Inria
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infrastructure and surrounding terrain. The work can include physics-based modelling of e.g., various events and wave propagation through different media, signal processing, large-scale data analysis, algorithm
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scientific leaders and researchers. For more details, please view https://www.ntu.edu.sg/spms . We are looking for a Research Assistant to support research in AI-enabled seismic data analysis. The role will
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offering state-of-the-art study programmes grounded in research in a wide range of academic fields, Ghent University is a logical choice for its staff and students. The "WAVES" research group (http
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staff and students. The "WAVES" research group (http://www.waves.intec.ugent.be/ ) is the expertise center of the Department of Information Technology of Ghent University/IMEC in Belgium for physical
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structure in the urban trench construction, the volume of leaked water, and the pipe dimensions, etc. Meanwhile, the AI modeling of wave propagation in the ground will be applied in the interpretation
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Geophysics, Physics, Mathematics, Earth Sciences or closely related discipline. Experience with and love for linking models to field data. Solid understanding of seismic wave fields and their mechanics
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matter, axions, and gravitational waves, by pioneering the weak coupling frontier through the use of cutting-edge quantum sensors and devices. QUP operates under a distinctive organizational model in which
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stimulated Raman scattering and two-plasmon decay, which involve Langmuir waves, as well as stimulated Brillouin scatter-ing and cross-beam energy transfer (CBET), which involve the ion acoustic response
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between multiscale flows involving ocean surface waves, submesoscale current, turbulence, and wind actions. The research aims to derive a highly accurate and efficient theoretical models by extending newly