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remaining biologically interpretable? The PhD candidate will design and apply integrative computational workflows using methods such as multi-omics integration, spatial modelling, representation learning
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performed by the PhD candidate will be supported by numerical modelling performed within the hosting team and by a partner team of ANR MultiMAGe. Expected skills. _Required_: 1 - Excellent understanding
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evolution and rarely align with climate model outputs. These models also exhibit biases due to the omission of certain physical processes, and their spatial resolution is often too coarse to be functional
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understanding of bioprecipitation processes in porous media, with a focus on the spatial distribution of bacterial colonization and the growth of biominerals in contact with the grains. The PhD candidate will
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to understand deformation-controlled hydrogen systems by integrating seismic observations and THMC physical modeling at three complementary sites: Comminges (primary target), Oman, and New Caledonia. The central
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and generatingnarratives describing the changes in natural language. The PhD student’s main responsibilities will include: - studying the data structures of OSM and the Topo database (models
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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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framework and model to anticipate the environmental criticality of raw materials, with specific focus on their extraction. This PhD will provide a thorough assessment of the environmental pressures induced by
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for major observatories. The center comprises approximately 30 researchers and faculty members, 20 engineers, technicians, or administrative staff, and 30 PhD students, postdocs, or fixed-term contractors. We
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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