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Hours of employment per week: 40h Responsibilities: This position involves applying and adapting probabilistic inversion approaches that integrate seismic data with well log and core data, as
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optimization, velocity modeling, seismic characterization, geological CO2 storage. Abstract: This research project aims to improve the FWI workflow in order to obtain accurate results even under limited initial
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staff position within a Research Infrastructure? No Offer Description Title: “Synthetic Dataset Generation Technique to Optimize Neural Network Training for Seismic Data Prediction” Research Area
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for a Modern Economy programme) Project description: We offer 3 postdoctoral positions in the field of infrasound and seismic instrumentation for gravitational wave detectors and experimental particle
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) for seismic data prediction. The use of neural networks to predict seismic velocity models has shown increasingly accurate and efficient results. The proposed technique will incorporate region-specific
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Aperture Radar (SAR) imagery and AI methods to detect and monitor slow gravitational movements of seismic origin or linked to changes in the cryosphere in the Alps. The proposed approach is based
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. Job Description: Lead design, deployment, and recovery of a compact multi-station seismic array across the beach–dune transition; manage instrumentation, power, and data logistics. Build data pipelines
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UMR 6524, Clermont-Auvergne University. Collaboration with the IMFT (Institute of Fluid Mechanics, Toulouse) for the numerical modelling. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR6524
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2030 program (see https://www.pepr-risques.fr/fr/programme-de-recherche-risques-irima ). IRIMA is led by CNRS, Grenoble Alpes University and BRGM, and aims to structure and strengthen hazard and risk
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transect (Paris Basin to Aquitaine Basin), incorporating constraints from topography, heat flow, gravity, geoid, seismic velocities, and recent mafic volcanic rocks (<10 Ma) as proxies for the mantle's