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capable of automatically selecting the simulation strategy best suited to a given prediction objective, while optimizing the trade-off between accuracy and computational cost. The work will build on multi
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) at Université Grenoble Alpes. Our department brings together the university's core expertise in the following disciplines: EEA (Electronics, Electrical Energy, and Automatic Control), Civil Engineering, Mechanics
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Développement (IRD), du Muséum national d’Histoire naturelle (MNHN) et du Centre National de la Recherche Scientifique (CNRS), dont l’implantation principale est située au Jardin des Plantes à Paris. La
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, 2026), called a MBON (Mushroom Body Output Neurons, referencing insect neural structures). Each MBON acts as a compact visual memory, encoding the essence of a scene without storing unnecessary details
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Postdoc (f/m/d) at Rossendorf Beamline at the ESRF / Completed PhD in Physics, Chemistry, Materia...
Helmholtz Association of German Research Centres | Tremblay en France, le de France | France | 2 months agobeamline operation # Excellent organizational and communication abilities # Capability to work both independently and collaboratively within a multi-disciplinary team # Proven programming skills (by relevant
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research center, a technical platform, a host site and a scientific training center. Its mission is to develop research in structural biology, a field of research that is crucial to the understanding
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load and attention. o Augmented and adaptive human-machine multi-modal interface (haptic, sound, etc.). o Cooperative and shared control. The research works will be tested and validated on both
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, the Chair may also interact with local expertise and technological platforms in bioinformatics, metabolomics, proteomics, transcriptomics, and multi-omics. Scientific objectives of the Chair The Chairholder
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, research-intensive, world-class university. Rooted in the heart of Paris and present across the regions, it is committed to student success and strives to address the scientific challenges of the 21st
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data. This includes ensuring, in compliance with the FAIR principles (Findable, Accessible, Interoperable, Reusable): - the structuring, integration, and quality assurance of multi-source data