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significantly to the modeling of flame radiation, at the intersection of physics, high-performance computing, artificial intelligence, and fire science — with direct applications in fire safety, wildfire
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information extraction from images or videos, object detection and tracking techniques. - Machine learning and artificial intelligence: mastery of supervised and unsupervised methods (CNN, clustering
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) with new process control capabilities, beyond its current specialization in visual inspection. Required skills : If you hold a Master’s degree in machine learning, artificial intelligence or applied
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for: - Contribute to integrating innovative approaches to hydrogeological modeling using artificial intelligence. - Contribute to research projects on managing and protecting groundwater resources quantitatively and
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or chemical shift selective techniques will be applied to analyze and quantify cerebral metabolites. We also explore the use of artificial intelligence (AI) to improve the resolution of localized 1H NMR spectra
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protein sources, new ways to recycle carbon, nitrogen and phosphorus. Greenowl deploys theoretical tools, from the fields of automatic control and artificial intelligence and combines them with experimental
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: • PhD in Geography (Remote Sensing, Geomatics), Computer Science, Agricultural Sciences • Skills and/or knowledge in artificial intelligence (Machine Learning) and programming: proficiency in Python
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variables models (DLVM) [1], allowed clear advances in Artificial Intelligence in the last 5 years, they clearly suffer from an overall weak knowledge of their theoretical foundations and behavior, in
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100 people, and it is supposedly one of the largest and oldest robotic research departments in France. LAAS-CNRS robotic department has made world-class contributions in artificial intelligence
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participate to scientific life of the teams. 3- Profile and skills required We are looking for a candidate with competences in Artificial Intelligence models, medical image processing, and mathematical modeling