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) and/or machine learning (about 10 PIs). The Physics Laboratory is about 180-member strong and conducts world-leading research on a broad range of topics, including quantum technology, statistical
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ELiA (Engineering for Life Sciences and Applications) research team at LAAS-CNRS, which specializes in the development of microphysiological systems, microfluidics, hydrogel photopatterning, and the
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, the ability to analyze the full dataset collected by the experiment will be severely limited. The L2IT is a leader in developing new track reconstruction algorithms using geometric deep learning methods
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3 Jul 2026 Job Information Organisation/Company CNRS Department Laboratoire de génie des procédés - environnement - agroalimentaire Research Field Engineering Chemistry Physics Researcher Profile
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3 Jul 2026 Job Information Organisation/Company CNRS Department Systèmes et Applications des Technologies de l'Information et de l'Energie Research Field Engineering Computer science Mathematics
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controlled group experimental tasks. The candidate will participate in the design, implementation, and analysis of behavioral experiments combined with non-invasive neuroimaging measurements, with
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develop a new generation of hybrid models combining large-scale machine learning with physical knowledge to represent interactions between mobile robots and their environment. The research will address
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5 Sep 2026 Job Information Organisation/Company CNRS Department Laboratoire d'Informatique, Signaux et Systèmes de Sophia Antipolis Research Field Engineering Computer science Mathematics Researcher
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different dyadic motor coordination tasks. A range of neurophysiological measures (EEG, ECG and fNIRS) as well as behavioural measures will be recorded simultaneously from both partners. Machine-learning
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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