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within the IROKO/INRIA team in Montpellier. The doctoral student's primary mission will be to **develop, adapt, and evaluate methods for estimating sample influence** within the specific context of Pl
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 5 days ago
PRCE project HIPOTHEC (« HIgh-order POlyhedral meTHods for Eddy Current testing simulations »), in partnership with the French National Power Company (EDF) Practical aspects: Secured two-year post-doc
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unit (UMR 7248) from UCA and CNRS. Abstract Optical flow estimation is a key task in computer vision, particularly critical for autonomous navigation where accurate motion perception is essential. It can
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on fluctuation of fluorescent molecules methods as they don’t need any specific materiel or fluorophore. The super-resolved image reconstruction is formalized in mathematical terms as an inverse problem with
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, so that it can be easily used in practice (fast optimization, embedded decision-making, online updating). 1. Design a lightweight statistical/probabilistic surrogate model, integrating: • an estimation
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multidisciplinary NUMERIQ project (ANR JCJC) aimed at developing fast and reliable methods in molecular simulations, with a focus on electronic structure simulations in quantum chemistry. Link to the detailed offer
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innovative methods for processing and analyzing 7Tesla MRI images of different modalities and formats (NIFTI, DICOM, etc.) using machine learning and artificial intelligence techniques. These methods will be
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experimental protocols and numerical models, encompassing steady-state analyses and advanced techniques such as Laplace and Fourier transforms. Furthermore, inverse modeling methods were implemented to estimate
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Approximate Curvature) are employed. - **Extensions:** Zero-order optimization and natural gradient methods are explored to address computational issues and implicit bias in optimization algorithms
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on estimated movements using eDCCs. The research will focus on data simulated using the Monte Carlo method and real data from clinical SPECT scanners with a parallel collimator, such as those available at LUMEN