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data) will help validate observations and refine predictive models. Automated monitoring tools (scripts, dashboards, alerts) incorporating machine learning algorithms or statistical methods will be
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27 Jun 2026 Job Information Organisation/Company CNRS Department Laboratoire d'océanographie physique et spatiale Research Field Environmental science Environmental science » Earth science
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
temporal, spatial, and stylistic constraints, as well as enabling intuitive and high-fidelity post-generation editing of the video content. The research will aim to produce models that are not only
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 2 months ago
expressions, mouthing, spatial organization, and timing. Automatic translation from sign language videos into written text therefore requires modelling complex visual and temporal information, rather than
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Inria, the French national research institute for the digital sciences | Sophia Antipolis, Provence Alpes Cote d Azur | France | 3 months ago
simulations are a key tool for testing scientific hypotheses and predicting the evolution of these systems. However, their computational cost remains prohibitive, particularly at large spatial and temporal
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phasing. • Ensure the implementation of the project methodology: thin-layer excavation, micro-spatial recording, full dry-sieving, on-site sediment sorting and systematic sampling of charcoal-rich
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interest in data analysis, modelling, statistics, and machine learning. Experience in spatial data analysis (GIS), scientific programming (Python, R, or equivalent), or artificial intelligence will be
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Institute for Translational Medicine and Liver Disease (ITM), Inserm U1110 | Strasbourg, Alsace | France | about 2 months ago
development, as part of the ENACT program (https://cluster-ia-enact.ai/). This position will bridge the gap between fundamental research, teaching, and innovation by combining multiple disciplines and partners
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precision at very fine spatial scales, thereby revolutionizing the performance of future optical systems—especially for the direct detection of exoplanets. The methodology will combine advanced numerical
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at the Laplace laboratory, where numerical and analytical models are being developed to predict plasma potential control and flux entrainment from polarized electrodes. During the third year of the thesis project