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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | about 2 months ago
, as they significantly impact both the performance and accuracy of the overall discretization scheme. Phase 2: learning techniques in wave modeling and inversion To address the inverse problem, we
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increasing storm intensities threaten the Belgian coast. Dunes serve as a natural safeguard, but they face significant erosion risks from wave overwash. This project aims to enhance the XBeach coastal model by
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stellar interiors, birth properties of black holes and neutron stars, supernova light curves and spectra, gravitational waves, neutrino astrophysics, the production of heavy elements stellar explosions, and
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the Baltic Sea over two climatic normals 1961–1990 and 1991–2020 using wave model SWAN forced with ERA5 wind data. The research The Baltic Sea wave climate is generally mild but exceedingly intermittent. Long
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My primary areas of research activity are two fold: first, studing thermonuclear (X-ray) bursts from accreting neutron stars; and second, searches for optical counterparts of gravitational-wave
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-reciprocity of spin waves Angular Momentum of Magnons Magnetically doped Transition Metal Dichalcogenide Thin Films via Molecular Beam Epitaxy Modeling of a magnonic diode based on spin-wave non-reciprocity in
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, contains: The construction of an experimental setup for the precise generation of ultrasonic guided waves. The exploration of diverse strategies for interrogating optical fibers utilizing the intricacies
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waves still remains a challenging and important research topic, with applications ranging from modelling tsunamis, rogue waves, and ice floes to informing ship design and coastal management. The accurate
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combining wave modelling, field observations, remote sensing, advanced mathematical methods and AI, the research will quantify spatial patterns of wave set-up, its statistical distributions and co-occurrence
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The Doctoral Candidate will: Perform numerical modelling of the three NDE techniques to evaluate the influence of relevant material property gradients on each NDE observable generating a sizable synthetic