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optimization of complex systems, intelligent data and information systems, as well as networks, distributed systems, and security. LIMOS stands out for its interdisciplinary approach, combining theoretical
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and adapted tools for the processing of signals or images acquired with biomedical sensor networks (cardiology, neurosciences) or in geosciences (seismology and marine ecology), but also in wireless
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, various digital tools have emerged to address these needs: mobile apps, training software, and communication aids (Oussama et al., 2021; Phosanarack et al., 2025). Although promising, these technologies
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Neural Networks (PINNs) in industrial settings, particularly for edge computing, with the outcomes contributing to open-source software. Ph.D. Objectives: The objectives are the following; - Evaluate
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obtained from multi-sensor networks across urban areas. A novel synergy approach will be developed that combines observations of thermal stratification from microwave radiometers, profiles of wind and
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software; analysis of existing image databases and new datasets. - Selection and tagging of deep aggregates (ROV): protocols to be defined with the PhD student; participation in data acquisition. - Analysis
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(from clinical or environmental use cases) Application of improved workflows in field studies These tasks will be carried out within the Marie Skłodowska-Curie Doctoral network METAMIC 3 - Metaproteome
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present at the Toulouse site, within the framework of two doctoral theses, in order to foster a new network of multidisciplinary scientific expertise on the diets of developing countries. PAPALIM offers two
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candidate will join the SIGNAL team under the supervision of Dr. Yoan Coudert. Research topic : The recruited postdoc will investigate the genetic mechanisms underlying the pre-patterning and development at a
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enables high activity in olefin polymerization, while providing precise control over composition and molecular weight distribution. However, this activator remains a poorly defined solid at the structural