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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | about 10 hours ago
site in the PACA region of France. They consist of a mirrored side and a painted side. Rather than resorting to manual computer graphics work, the general aim of the project is to to develop the lightest
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-depth expertise in Computer Vision and Photogrammetry. - Mastery of state-of-the-art Neural Rendering (NeRF, NeuS, SDF). - Knowledge of Photometric Stereo methods. Operational Skills: - Advanced
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 3 days ago
the data payload size and lead to inefficient resource use. Consequently, grant-free methods [1] that eliminate or reduce control traffic are well suited for these scenarios. Removing coordination
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18 Nov 2025 Job Information Organisation/Company UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE Department Department of Computer Engineering Research Field Engineering » Control engineering Researcher
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Two-year postdoc position (M/F) in signal processing and Monte Carlo methods applied to epidemiology
and data-driven procedures for pointwise and/or credibility interval estimation of epidemiological indicators, e.g., for the reproduction number R(t) of Covid19. Elaborating on a recent epidemiological
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Mathematics, Computer Vision, or Data Science. -Knowledge of statistical inference methods and machine learning. -Experience in spectroscopy and imaging is an asset. -Strong programming skills in Python
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3 Dec 2025 Job Information Organisation/Company INSA Strasbourg Research Field Computer science » Computer systems Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country
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Post-doctoral Researcher in Multimodal Foundation Models for Brain Cancer & Neuro-degenerative Disea
radiologists involved in the projects. Training and research environment The Brain Imaging & Neuro Epidemiology group (BraINE) develops advanced methods for medical images analysis, combining computer vision
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photosynthesis), in order to estimate the carbon sink/source effect linked to the cloud microbiota, and its dependence on environmental variables. The person recruited will participate in cloud sampling operations
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learning techniques (RF, XGBoost, NN, SISSO) to screen all the possible compositions of the half-Heusler family in order to find high ZT materials. - Propose new ML methods. - Perform DFT calculations