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, annotators, and underlying neural architectures. The ultimate goal is to produce argument mining tools that are more robust, generalizable, and fair, applicable to sensitive domains such as the analysis
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-of-the art computational models, the approach to be developed in the thesis is expected to yield reproducible, explainable results, increasing the reliability of clinical decision-making and paving the way
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during pilot-scale drying and storage spray-drying of model powders with varying process parameters to determine their influence; determination of reaction markers before and after drying and of physico
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coupling, damage evolution, and anisotropic material behaviour. These developments will result in a virtual digital framework capable of providing predictive indicators, virtual testing, and decision-support
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
performance. Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026-10279 Requirements Skills/Qualifications Applicants should have: MSc degree in Robotics or a related discipline. Strong
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Description The PhD candidate will contribute to a fundamental research project in cognitive neuroscience aimed at improving our understanding of the neural mechanisms involved in human decision-making during
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stimuli, such as surface potentials or photochemical excitation. However, such choice makes indirect and unspecific methodologies. While efficient, these routes for surface modification are prone
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 3 months ago
infrastructures such as IPFS (https://ipfs.io/ ) and Matrix (https://matrix.org/ ) on which we can plug replication mechanisms for file system synchronisation. Data replication algorithms have to be reliable (i.e
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barriers (modelling, experimentation, and monitoring), (ii) Determination of the impacts of subsurface exploitation and usage (induced seismicity, pollutant migration, CO₂ and associated impurities leakage
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of these systems by combining detailed operational modeling with decentralized decision-making approaches. The work will focus on: • the development of generic multi-energy system models accounting for typical