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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 5 days ago
(whether P-wave, S-wave, or combined datasets) in relation to the physical parameters being reconstructed (e.g., Lamé parameters, density, anisotropic properties). The goal is to design an inversion
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calculation of NMR parameters. - Experience in experimental NMR. - Basic knowledge of electrochemistry, magnetic and electronic properties, and solid-state chemistry. - Proficiency in the necessary computer
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1: Extension of the coverage and performance of the HLA-Epicheck model through the addition of new antigens. This also includes optimizing the values of certain model parameters. Task 2: Evaluation
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, developing and numerically solving diffusion reaction equations, parameter estimation, machine learning, and sensitivity analysis, with an emphasis in building open-source technologies that benefit the entire
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 1 day ago
) algorithms for the identification of unknown BRP model parameters from time-course, single-cell (growth and gene expression) measurements over cell lineages. Develop methods for estimation of unobserved
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. Optimize the acquisition parameters of 3D-Electron Ptychography (combining ptychography and a limited number of view directions, ie., tomography) and improve or further develop the reconstruction algorithm
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short time scale, such as a few seconds to ten minutes, and ionospheric parameter estimation Validate the results from VGOS with GNSS, numerical weather model, and water vapor radiometer Collaborative
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24 Sep 2025 Job Information Organisation/Company INESC ID Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions Postdoc Positions Country
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researcher will join the bioinformatics team at the MMSB Laboratory (UMR 5086; MOMS team). Responsibilities: (1) computer simulations as part of the SELDOM project, focusing on interactions between lipids and
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the laboratory. Extensive characterization will be performed, with structural, microscopic and chemical analysis, to explain the evolution of properties in order to better predict them, propose in-situ estimation