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interdisciplinary, and together we contribute to science and society. Your role Multi-omics data integration and workflow improvement Development and application of machine learning-based algorithms
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an internationally recognized research team at LAAS-CNRS in Toulouse, focused on developing autonomous mobile machines that integrate perception, reasoning, learning, action, and reaction capabilities
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28 Aug 2025 Job Information Organisation/Company CNRS Department Laboratoire d'informatique de modélisation et d'optimisation des systèmes Research Field Computer science Mathematics » Algorithms
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Simulation and Physics of Drosophila Larva Body Dynamics Introduction The “STRETCHED” project aims to develop a robust, physics-based 3D simulation platform to replicate the motor control dynamics
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slicing. - Develop advanced AI/ML algorithms and data analytics techniques to automate and optimise exposure requests, adapted to available resources and real-time demand. - Propose and
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approach, combining quantitative genetics, experimental evolution, and meta-analysis, to explore the potential of sexual selection in females at both micro- and macroevolutionary scales. Using the red flour
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available for clinical therapies or in development in the drug discovery pipeline [14], there are currently no diagnostic approaches based on detection and quantification of PK activities. Although
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to widen the use of III-Vs in the industry and not only to serve niche applications. This relies on our ability to develop low-cost and eco-friendly deposition methods for growing high quality UWBG thin
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), IBPS, Sorbonne Université. The team possesses expertise in developing application-specific microfluidic models that integrate desired mechanical conditions of fluid flow and substrate viscoelasticity
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requiring AI are not necessarily permanently connected to the grid. The need to develop an energy-efficient hardware for the implantation of AI in nomadic systems is becoming increasingly urgent. Major