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and deep-tech companies, is one of the winners of the France 2030 call for projects on generative AI. Coordinated by the Health Data Hub (HDH), this project aims to use generative artificial
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researchers with ample experience in MEG/EEG data analysis, BCIs, signal processing, deep learning for brain imaging analysis, biomedical statistics, dynamical systems and research on motor control. The lab has
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Machine/Deep learning and classification Knowledge of the Linux operating system for using a computing cluster Interest in transdisciplinarity and teamwork Autonomy and scientific rigor Website
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This post-doctorate is part of the ANR DEEP-SENS (Demystifying
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Eligibility criteria - Deep knowledge of instrumentation and elementary particle detection - Proficiency in simulation tools (Gantt4 and CST) - Proficiency in programming languages (C++, Pyrhon) - Knowledge
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-DEEP and IMP Lyon), the work will combine field campaigns at instrumented combined sewer overflows, experimental laboratory analyses at ENTPE, and data processing. Occasional travel to instrumented sites
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existing structural and functional MRI data, acquire new data in collaboration with clinical researchers, and prepare publications and conference presentations. - Study preparation - Data acquisition (MRI
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Description CNRS offers a 18-month fixed-term contract researcher position to work on the recently funded project ACCTS (“Assessing cirrus cloud thinning strategies by learning from aerosol-cirrus interactions
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combine density functional theory (DFT), molecular simulations, and machine-learning force field (ML-FF) development to uncover the factors controlling NHC–surface interactions and to model realistic
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notebook - Present the results of syntheses and characterisations, ensuring their follow-up and quality - Master basic IT tools, ability to learn new ones - Work with rigour, reliability and initiative