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community (cryosphere, geophysics) with good knowledge of image processing and off-the-shelf AI tools, or from the signal/image/AI community with experience in applications related to Earth observation
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(OPVs). The MOLTECH-Anjou Laboratory (https://moltech-anjou.univangers.fr/en/ ) is a mixed CNRS (the French National Centre for Scientific Research) - University of Angers research unit which gathers
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 7 days ago
health insurance under conditions 2788€ gross salary / month Selection process Applications must be submitted online on the Inria website. Website for additional job details https://jobs.inria.fr/public
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aeroacoustics (wind tunnel testing, microphone arrays) MATLAB / Python for signal processing CFD software (ANSYS Fluent, OpenFOAM) FEM softwares (COMSOL, ACTRAN) Spectral analysis (FFT, wavelets) Behavioural
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(2024), pp. 1–55. [3] Fernando Gama et al. “Convolutional neural network architectures for signals supported on graphs”. In : IEEE Transactions on Signal Processing 67.4 (2018). [4] Luana Ruiz, Fernando
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uptake, stress tolerance, and species interactions. A case in point is optimal partitioning theory (OPT), a dominant paradigm of plant resource allocation that describes the ability of plants to adjust
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experiments, while performing precise measurements of neutrino-nucleus scattering processes. The successful candidate is expected to play a leading role in simulation studies and data analyses aiming
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) to reconstruct the sea surface height signal associated with different dynamic features: internal tide waves and mesoscale dynamics. The project is part of the Adopt A Crossover consortium, with the lead
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preclinical imaging - Proven expertise in quantitative imaging analysis and in signal or image processing - Strong analytical, organizational, and communication skills - Ability to work in interaction with
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, optics, signal processing, data science, or a related discipline. They should have strong skills in physical modeling and/or machine learning, as well as experience in the development of scientific