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to announce the availability of a fully-funded Joint Doctoral studentship under the Marie-Curie Sklodowska Doctoral Network Scheme as part of the DECADOCS project (DECADOCS – 101227176). This PhD project will
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respect to an infinitesimal perturbation of the dataset, provide a rigorous framework to: - **Identify the most informative samples** among the predictions of a deep neural network (DNN), with the goal
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, including 180 permanent staff (researchers, professors, engineers, technicians, and administrative personnel) and around 180 non-permanent staff (PhD students, postdocs, and fixed-term contracts). Each year
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PhD student (M/F) in Polymer Chemistry: Synthesis of cross-linkable, degradable and recyclable latex
, Polymerization, Processes and Materials Laboratory (CP2M, Lyon). IS2M and CP2M will leverage their respective expertise in emulsion stepwise polymerization and dynamic covalent networks to synthesize functional
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Offer Description REMOD-HEALING is a Doctoral Network funded by the Horizon Europe Programme of the European Union. The REMOD-HEALING Consortium has funding for 12 full-time (100%) doctoral scholarships
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at the Doctoral School of Chemistry at the Université de Bordeaux. Initially, the candidate will be hired for 13.5 months (max.) as a Doctoral Candidate (DC) within the European Doctoral Network MultiSMART. The PhD
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Networks (CANs) are thermosets in which permanent covalent crosslinks have been substituted by exchangeable bonds creating a new family of polymer at the border of thermosets and thermoplastics.1 Despite
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that are transforming many sectors today through language models, recommendation systems and advanced technologies. However, modern machine learning models, such as neural networks and ensemble models, remain largely
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history (PhD) - Methods and tools for data production (in-depth knowledge) - Professional environment and networks (general knowledge) - Legal and ethical framework (in-depth knowledge) - Written and oral
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Bordeaux. Cell membranes serve as dynamic interfaces between compartments, where intricate signaling networks converge, giving rise to emergent behaviors such as signal amplification, specificity, and