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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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in the team “Processus dynamiques et multi-échelles de l'organisation spontanée dans la morphogenèse tissulaire” led by Dr. Wenjin Xiao and Prof. Mathieu Hautefeuille, at Laboratory Dev2A (UMR 8263
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Research Institute for Environmental and Occupational Health (IRSET - UMR_S INSERM 1085) | Rennes, Bretagne | France | 2 months ago
for Environmental and Occupation Health (IRSET)CountryFranceState/ProvinceBrittanyCityRennesPostal Code35000Street9 avenue du Prof. Léon BernardGeofield Contact City RENNES Website https://www.irset.org Street 9
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of Orléans (France) and USP (Brazil). The project involves the immunology teams of Dr Nicolas Riteau and Prof Larissa Dias da Cunha in Brasil and the biochemistry/structural biology team led by Dr Bertrand
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and spectroscopy). Further information may be obtained from: Dr. Frank Gabel (tel.: +33 (0)4 76 20 75 74, email: gabelfrank@ill.fr ), and from Prof. Dr. Janosch Hennig (tel.: +49 (0)9 21 55 35 40, email
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influence helps detect labeling errors or prioritize unlabeled images, optimizing the learning algorithm and service quality. The doctoral student will carry out their work at IMAG (UMR of Mathematics) and
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(mathematical modeling in ecology, LOMIC, Banyuls-sur-Mer) and Prof. Christoph Grunau (Host-Pathogen-Environment Interactions, IHPE, Perpignan). Both laboratories are equipped with all the necessary computational
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), via the EM2C Laboratory, a CNRS research unit located at CentraleSupélec. Politecnico di Milano (POLIMI) will co-host the research. The research will be supervised by Prof. Ronan Vicquelin (UPS), Dr
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2 Sep 2025 Job Information Organisation/Company CNRS Department Maison de la Simulation Research Field Computer science Mathematics » Algorithms Researcher Profile Recognised Researcher (R2) Country
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activities (monitorship). - Participate in the supervision of trainees up to Master's level. Skills : - Mastery of the basic theoretical and algorithmic aspects of signal processing. - Proficiency in