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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
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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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-Performance Computing for Exascale" contributes to the design and development of numerical methods and software components that will equip future European Exascale and post-Exascale machines. This program is
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particular NLP, statistical learning, machine learning, generative AI, and their major fields of application. Roles and responsibilities The applicant will join the team of the 3IA Côte d’Azur Institute and
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of Research Experience1 - 4 Research FieldPharmacological sciencesYears of Research Experience1 - 4 Additional Information Eligibility criteria The candidate must hold a PhD in biochemistry or biotechnology. He
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PhD students, as well as two engineers and technicians. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7346-ANNPOR-168/Candidater.aspx Requirements Research FieldPhysicsEducation
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of Research Experience1 - 4 Additional Information Eligibility criteria Candidates must have a PhD in polymer chemistry and physical chemistry in the broadest sense, excellent practical skills, and a keen