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” focusing on the effect of a fluctuating environment on the collective dynamics of self-propelled agents, a numerical part on “reinforcement learning” focusing on optimizing communication between agents in a
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instruments and high throughput genomics that informs advanced numerical analysis methods (modeling, statistics, machine learning). Plankton encompasses all organisms roaming with marine currents. Those
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experimental parameters (time, temperature). To optimize these parameters, active learning techniques based on Bayesian optimization will be applied. In situ or ex situ characterizations (FTIR, ¹¹B/¹H NMR, HP
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innovative methods for processing and analyzing 7Tesla MRI images of different modalities and formats (NIFTI, DICOM, etc.) using machine learning and artificial intelligence techniques. These methods will be
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Description Conduct a part of the ANR MetaTime (setting-up experiments, acquisition and processing of data, writing scientific reports) • Perform a review of the existing litterature on the topics • Acquire
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, computer science (medical image processing), medical physics. Computer skills: Python, C++ (ITK, RTK). Languages: English required, French optional. Website for additional job details https://emploi.cnrs.fr/Offres
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. Creativity Cross-functional skills. Ability to learn new technologies/languages. Bibliographic monitoring Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5239-CHRCHA-003/Default.aspx
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CEA, which aims to anticipate, prevent and remedy as far as possible the failures of complex multi-scale systems hosting multi-physical phenomena, in order to increase their safety under operational
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copolymers, which will then be evaluated for their degradability and mechanical properties. Using active learning, a branch of AI, the research will be guided through the large parameter space of copolymers
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(ROOT), • Physics: Experience in particle spectroscopy, heavy-ion reactions, fission dynamics Soft skills : • Teaching skills and the ability to instruct less senior scientists (Ph.D. and