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at the Plant Reproduction and Development Laboratory (RPD, CNRS UMR 5667, Lyon), see https://www.ens-lyon.fr/RDP/signalisation-cellulaire-et-endomembranes/ Our added bonuses: • A stimulating work environment in
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Candidates must have expertise in at least two of the following areas: • Machine learning and its associated mathematical foundations • Embedded systems • Analog / mixed-signal design Website for additional
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part of the international Refuge-Arctic project (https://www.refuge-arctic.ulaval.ca ) with links to the NASA FORTE project, whose overall objective is to better understand and predict the role played by
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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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, superconductivity, quantum optics, growth (MBE) etc. – http://www.insp.jussieu.fr/. ; Our team has developed an expertise in magnetoacoustics on various systems, take a look at our webpage: https://w3
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-temperature-superconducting (HTS) magnets for the machine–detector interface of the FCC project, within the “Accelerator R&,D” group at LAPP." Where to apply Website https://concourschercheurs2026.dsi.cnrs.fr/index.php
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Vision Profiler (UVP), and to analyse its spatial and temporal variability. This will be done by combining different data sources and machine learning (ML). Data used for this ML approach include - a
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at least two of the following areas: Machine learning and associated mathematical foundations Embedded systems Analog/mixed design [1] https://emergences.pepr-ia.fr [2] https://www.frontiersin.org/articles
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astroparticle physics, particle physics, and mathematical physics. The cosmology and astroparticle team (https://astrocosmolapth.com ) conducts research on large-scale cosmic structure, microwave and infrared
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' (http://www.quanthic.org ) within the Institut of Chemistry for Life and Health Sciences at Chimie ParisTech -PSL (Paris, France). This work is financed under the ANR ElectroHIP project. Where to apply