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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 20 days ago
Engineering, Computer Science, Applied Mathematics or a related field. - A strong background in image processing or/and in computer vision is required. - Strong programming skills in Python. - Strong
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8029) bringing together researchers, engineers and doctoral students across a broad spectrum of electrical engineering topics, including electronics, electrical energy systems, signal processing, and
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by an electric field applied to three reading planes oriented at different angles, where they induce signals. LArTPCs can produce highly accurate 3D images of neutrino events, which can span several
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, hydrological (runoff, infiltration, condensation), and microbiological parameters. The proposed research therefore aims to investigate the alteration processes affecting rock surfaces at different scales
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multiphysics - Strong interest in experimental techniques and analysis of experimental data - Skills in programming and signal and image processing - Taste for interdisciplinary environment: physics, chemistry
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20 Mar 2026 Job Information Organisation/Company LEM3 Research Field Engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 30 Jun 2026 - 00:00
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image processing - Taste for interdisciplinary environment: physics, chemistry and biology - Good interpersonal skills (enthusiasm for research), able to work independently as well as in a team, taking
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17 Mar 2026 Job Information Organisation/Company cnrs Department lem3 Research Field Engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 30 Jun
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | about 1 month ago
in particular computer vision. Particular topics of interest include visual comprehension, hyperspectral imaging, numerical and parallel optimization, and unsupervised learning. A particular emphasis
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mangament in numerical models, including advanced calibration strategies from data (observations, measurements, other model predictions) and uncertainty reduction. Scientific context Many engineering and