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/ computer vision and pattern recognition, including but not limited to biomedical applications Strong interest in applied machine learning, including but not limited to deep learning Experience utilising GPU
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permanent researchers and lecturers, is a pioneer in thermal AFM microscopy at European and world level. The PhD work will be carried out in the framework of the ANR ANTICHI project, which brings together
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30 Aug 2025 Job Information Organisation/Company CNRS Department Institut de Chimie de la Matière Condensée de Bordeaux Research Field Chemistry Physics Technology Researcher Profile First Stage Researcher (R1) Country France Application Deadline 19 Sep 2025 - 23:59 (UTC) Type of...
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27 Aug 2025 Job Information Organisation/Company CNRS Department Institut d'Electronique et des Systèmes Research Field Engineering Physics Technology Researcher Profile First Stage Researcher (R1) Country France Application Deadline 16 Sep 2025 - 23:59 (UTC) Type of Contract Temporary Job...
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for Artificial Intelligence. https://miai.univ-grenoble-alpes.fr/ Activities Develop and evaluate deep learning tools for MRI fingerprint data Write scientific articles Present results at international conferences
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articles, - Participating in conferences, - Supervising the writing of reports and articles by supervised students, - Supervising and training interns and PhD students. • Cross-functional tasks - Participate
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, machine learning and turbulence modeling. The researcher must hold a Phd in fluid mechanics / Applied mathematic / Machine Learning. Website for additional job details https://emploi.cnrs.fr/Offres/CDD
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. The researcher will have an office space with a computer and a suitable technical environment. The IBMP is accessible by public transport. On-site cycle parking facilities and staff catering. Where to apply
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for such applications. To respond to these challenges, this project aims to investigate automated decision making based on machine learning. The candidate (H/F) will propose and validate centralized as
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algorithms for optimization Quantum annealing Quantum inspired optimization Quantum machine learning with a special emphasis on classical optimization of QML algorithms Noise mitigation in relation