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models, whilst respecting the specific spatial structure induced by river networks. - Cleaning, structuring and analysing historical long-term monitoring data (approx. 200 sites). - Adaptation and
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. Interaction with the different partners of the project will help to properly define the input data (source model, environment properties), and interpret the output data (pressure, displacement, velocity
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of teleworking one to two days per week for some activities, subject to the agreement of the team manager, and training to adapt to the job. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR7178-REGSOM
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unsupervised learning. These methods will be based on new classes of partial differential equations on graphs and new graph neural network models based on diffusion processes. The developed algorithms will be
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needed for wet-bulb temperature retrieval -Co-locating satellite data with ground-based HadISD stations -Running neural networks and finding the architecture best suited to a case study on India
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Paris, September 2026 Position: A post-doctoral position is available in the Guermonprez lab at Institut Pasteur Paris (“Dendritic cells and adaptive immunity” Unit, https://research.pasteur.fr/fr
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https://emploi.cnrs.fr/Offres/CDD/UPR4301-LAELEG-068/Default.aspx Requirements Research FieldChemistryEducation LevelPhD or equivalent Research FieldBiological sciencesEducation LevelPhD or equivalent
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), in collaboration with the teams in charge of software development. 3. Demonstrators, impact assessment and replication (WP6) o Support the pilot projects in the Mediterranean (Naples), Alpine (Oslo
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, Artificial Neural Networks, and neural decoding, including cross-condition generalisation and coding similarity analyses of MEG activity patterns. The project is closely articulated with a PhD project in the
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over a very large area, using sputtering deposition techniques. The overall objective of the project is to define the parameters of this technology (integration of high-performance phase-change materials