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reduction, to fully automatize the workflow at the ILL reflectometers. The integration of the ML module in the data acquisition and data processing ecosystem will enable real-time data analysis and will open
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robots in case of terrain changes—by processing incoming sensor and IoT data on-the-fly. Natural Language Processing (NLP) and Large Language Models (LLMs) bring a complementary human-centric dimension
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interest in experimentation. Fluency in English is required (both written and spoken). LanguagesENGLISHLevelExcellent LanguagesFRENCHLevelGood Additional Information Selection process Application
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PhD student at ILL: studying In situ neutron diffraction for green steel and functional metal oxides
on an atomic level by using in situ techniques in order to deepen our knowledge on industrial processes (ore smelting) and to work out synthesis strategies for reduced transition metal oxides. Target compounds
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Metabolism team, with a preferred starting date of late summer 2026. Your tasks will include: Extract the native proteins involved in catabolic processes and purify them using our oxygen-free method
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 18 days ago
mechanism in which a local event, such as ligand binding, produces functional effects at distant sites in a molecule. This process plays a key role in regulating biological systems and represents an important
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a joint research unit (University of Rennes and CNRS) with 150 staff, including 60 researchers and lecturers, specialising in the study of geological and environmental processes. Keywords: Optically
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(graduated or close to graduation) in Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, Applied Mathematics, or related fields. Scientific curiosity and creative thinking
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | about 1 month ago
. These simulations are run on highly parallel supercomputers on which both the hardware and the software are optimized for the task at hand. While the computing power of each processing unit is still increasing, the
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, natural disasters, and violent conflicts threaten children’s education across the world. Because such disruptive events tend to obstruct data collection, understanding their impact on children’s educational