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) System-level design and optimization. The related domains and topics for each of these research areas that we would like to attract excellent researchers to work on are the following: Radio frequency
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for experiments and building the analysis and optimizer steps under supervision of a PhD student. Core Responsibilities Include: Play with the proof-of-concept command-line tool to generate specifications from
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-tuning, multimodality, MLOps, and model management. Ability to optimize AI models under energy and memory constraints. Experience applying AI across diverse domains (health, mobility, cybersecurity, energy
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suppliers and select equipment in agreement with the project leader. Operate and monitor the system using a dedicated interface. Design, validate, and optimize protocols for encapsulating biomass in
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, spanning fields such as neuroscience and cognition, humanoid technologies and robotics, artificial intelligence, nanotechnology, and material sciences, offering a truly interdisciplinary scientific
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, metabarcoding / metagenomics) • Excellent organizational skills for research activities: optimization of experimental protocols, data compilation and management • Ability to generate reliable, high-quality data
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, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities
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criteria and constraints, whether scientific, technological, economic, or social. Research is organized around three teams: • CID: Knowledge, Uncertainty, Data • SCOP: Reliability, Communication
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optimization. In this context, interdisciplinary research is strongly encouraged—particularly collaborations spanning computer science, computational linguistics, cognitive science, and the learning sciences
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closely related field. We require documented knowledge and several years of research experience in: Functionalization of carbohydrates Hydrogel-based drug delivery systems Biological evaluation of materials