1,552 machine-learning-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" positions in France
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inflammation observed in Chronic granulomatous diseases (CGD) patients during infection. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5089-ETIMEU-007/Candidater.aspx Requirements Research
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financial support. Information about the institute, its members, and salient activities may be found on its site https://poincare.univ-lorraine.fr/fr/axes . The Poincaré Archives are recognized in France and
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Network, including attending training courses and work placements at other sites. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5588-DELDEB-006/Candidater.aspx Requirements Research
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is part of the EUBURN program, led by CNRM (Météo-France/INSU, PI: C. Denjean; https://euburn.aeris-data.fr/ ), which addresses these gaps through coordinated ground-based and airborne measurement
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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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silico identification of candidate developmental pathways explaining tradeoff variation. Contribute to advanced statistical analyses and interpretable machine learning approaches (in collaboration with
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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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Skills :Programming, Research Knowledge :IA, Deep Learning, Python Where to apply Website https://rubis.univ-spn.fr/offres/voir/206 Requirements Specific Requirements Be a graduate of an Engineering
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University of Savoie Mont Blanc (USMB) that brings together expertise in machine learning and information fusion, as well as networks and systems. It develops methods for processing and managing data in
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. The PhD will focus on two complementary approaches: 1) Enhancing CDI with machine learning: improve this technique using convolutional neural networks (CNNs) trained on simulated data, enabling faster and