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, visiting researchers, master's students, etc.) Research Context Recent advances in mobile robotics have been driven by remarkable progress in perception, deep learning, and control. However, current robotic
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Processes (https://simap.grenoble-inp.fr ) - is a multidisciplinary laboratory with more than 200 participants from chemistry, physics, materials and fluid mechanics. It is one of the leading laboratories in
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– Blood Signals”** team investigates the molecular mechanisms controlling the development, maintenance, regeneration, and aging of the hematopoietic system, with a particular focus on hematopoi
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interpreted within a THMC physical modeling framework, in which deformation controls the evolution of permeability, fluid pressure evolves via porous flow, and reactions (serpentinization) modify bulk and
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STLO) (https://eng-stlo.rennes.hub.inrae.fr/ ). This work is part of the “Predicting the browning of dairy powders by kinetic modeling of Maillard reaction and caramelization during drying and storage
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then be linked to the thermomechanical response observed under controlled thermal load on the ATHORNA thermal shock platform (https://www.reffracteur.eu/phd-positions/ see PhD 09). Results
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 28 days ago
the sensitivity and uniqueness of information used to express user intent, and estimating the consequences of data leakage, including re-identification risks. Sensitive data-flow analysis: tracking how personal and
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, multimodal data interpretation, real-time stream processing, adaptive robot control, trust calibration, and edge-cloud deployment. The expected outcome is an inclusive, interpretable, and sustainable AI-based
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they contain, is a major challenge for molecular data storage. Nowadays, the main characterization techniques are based on mass spectrometry or electrical current detection. Despite their high sensitivity
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 1 month ago
worldwide is projected to approach 180 zettabytes (ZB) per year by 2025 [1]. However, current storage technologies face significant limitations in scaling sustainably to such volumes. One promising solution