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at various universities and engineering schools in the Grenoble metropolitan area (Université Grenoble Alpes). Gipsa-lab is internationally recognized for its research in Automation and System Safety, Data
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, combined with automated sampling and complementary physicochemical analyses. This collaboration will provide advanced training in the correlation between polymerisation, self-assembly mechanisms
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spectrum of topics in CNU sections 27 "Computer Science" and 61 "Computer Engineering, Automation and Signal Processing". The laboratory is located at the heart of the Sophia Antipolis technology park, in a
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/acsphotonics.3c01104). This method is based on the combination of a color two-photon excitation method developed at the LOB, automated serial sectioning, and the 'brainbow' approach developed at the IdV allowing
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embolism events, trigger high-speed acquisitions, and measure their dynamics over timescales ranging from several hours down to a few microseconds. The work will include designing and automating
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: automating information extraction from unstructured data, proposing a common representation of multi-source data, developing data fusion and knowledge enrichment methods, automatically detecting anomalies, and
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• Education: Master's degree in Automation, Electrical Engineering, AI, or Energy. • Skills: Modeling (Python/Matlab), AI (PyTorch/TensorFlow), signal processing. • Qualities: A passion for experimentation (HIL
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in this field. C. Grouin will cover computer science aspects and automated language processing. We will also collaborate with Vincent Génot, former director of the Plasma Physics Data Center at IRAP in