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Post-doctoral Research Opportunity in NeuroVirology at the Institut Pasteur, Paris, France A post-doctoral potition is available in the research team of Dr Guilherme Dias de Melo in the Lyssavirus
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experimental parameters (time, temperature). To optimize these parameters, active learning techniques based on Bayesian optimization will be applied. In situ or ex situ characterizations (FTIR, ¹¹B/¹H NMR, HP
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innovative methods for processing and analyzing 7Tesla MRI images of different modalities and formats (NIFTI, DICOM, etc.) using machine learning and artificial intelligence techniques. These methods will be
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). An example of the objective pursued is to make the spectrum of these components reconfigurable post-manufacturing in order to make their spectrum agile. More punctually, the applicants will be part of
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Skills/Qualifications Strong background in Operating Systems and Linux development Knowledge of memory management mechanisms and system-level programming Experience with Machine Learning models (design
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Dans le cadre d’un projet collaboratif financé par la BPI et porté par la société ITEN, le Laboratoire de Chimie de l’ENS de LYON recrute en post-doctorat un chimiste spécialisé dans la synthèse de
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in Artificial Intelligence (Machine Learning and Statistics) at CentraleSupélec, · Joël Eymery, Head of the Nanostructures and Synchrotron Radiation Team at CEA Grenoble, · Jean-Sébastien
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The Machine Learning for Integrative Genomics team at Institut Pasteur, headed by Laura Cantini, works at the interface of machine learning and biology, developing innovative machine learning