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Post-doctoral position (M/F) for testing drought-based BEF relationships at CEFE Montpellier, France
out and analyze simulations based on these, with possible modifications to the integrated model. Forests are terrestrial ecosystems of major importance, and forests in metropolitan France are among
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prediction, uncertainty, and learning in real-world stimuli and track how they are encoded in neural data Develop tools to be used in audiological clinical to diagnose patients based on naturalistic
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 12 days ago
]. This requires interactively defining a template per flower, and is not suited to multi-layered petals, as in case of a rose. This postdoc position is concerned with a data-driven approach that learns
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highly polar bio-based polymers, including poly(hydroxyurethane)s (PHUs), with relaxor properties. • The PHUs will be polymerized from bio-based dicarbonates and long-chain diamines to promote
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. The position is primarily based in the Electronics team of GREYC in Caen, France (20 permanent researcher and 3 permanent Engineers and Technician). The successful candidate will work within the functional oxide
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 10 days ago
graph-based representations, system dynamics, and Physics-Informed Learning, as well as the implementation and validation of these models using real-world data. The developed models will be integrated
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, France [map ] Subject Area: Machine Learning / Machine Learning Appl Deadline: 2025/12/13 04:59 AM UnitedKingdomTime** (posted 2025/10/21 05:00 AM UnitedKingdomTime, listed until 2026/04/22 04:59 AM
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, convolutional architectures and surrogate modelling for physical systems Solid understanding of PDE-based models or the motivation to acquire this knowledge Experience with real-time or edge deployment (CUDA
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and economy that respect people and their environment. We are looking for our future postdoctoral researcher in optimization for statistical learning to join the Image, Data, Signal (IDS) department
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FieldMathematicsYears of Research ExperienceNone Additional Information Eligibility criteria PhD in computer science, deep learning, or data science. Experience with multimodal models for biological data. Website