Type annonces : Proposition de poste

[StageM2] – Direct detection and characterization of exoplanets: statistical learning, multi-epoch and multi-spectral data fusion

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Keywords: statistical modeling, data-driven approaches, data fusion, inverse problems, nuisance modeling, multivariate data from VLT/SPHERE, high-angular resolution & high-contrast imaging, exoplanet detection & characterization. Scientific Context: The direct observation of the close environment of stars can reveal the presence of exoplanets and circumstellar disks, providing crucial insights into the formation,…

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[Stage M2] Projet ORNEMents

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Détermination de l’ORigine biologique de la Nacre patrimoniale par l’Etude par la Microscopie numérique d’éléments microstructuraux caractéristiques et pertinENTS. Determination of the biological origin of mother-of-pearl in cultural heritage through the study of characteristic and relevant microstructural elements using digital microscopy. Ce stage financé par le DIM PAMIR comportera une…

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[StageM2] – Physics-informed deep learning for exoplanet detection at high-contrast from multi-variate data

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Keywords: statistical modeling, physics-informed deep learning, data-driven approaches, inverse problems, hybrid approaches, instrumental modeling, nuisance modeling, multivariate data from the JWST and VLT, high-angular resolution & high-contrast imaging, exoplanet detection & characterization. Scientific Context: The direct observation of the close environment of stars can reveal the presence of exoplanets and…

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[PhD] Scalable indexing and retrieval in multimedia and geospatial contents – Paris area, France

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All the details: https://www.umr-lastig.fr/vgouet/News/PhD_Thesis_proposal25-DALEAS.pdf At a glance Within the DALEAS project, the PhD will tackle the core challenge of content-based indexing and retrieval in multimedia contents at large scale. The multimedia contents considered, such as images, text, and 3D point clouds, illustrate or document the territory (a city, street, monument,…

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[Post-Doc] Machine Learning/Deep Learning for Organic Synthesis

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Context The research team « Apprentissage » of the LITIS laboratory is recruiting at INSA Rouen Normandy for a postdoctoral position in machine learning/deep learning for reaction optimization in organic synthesis. The postdoctoral fellow will conduct high-impact research in machine learning and deep learning applied to the organic synthesis. It is expected…

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Enseignant-chercheur en traitement de l’information quantique

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Type emploi : EC LRU avec un service d’enseignement de 64HTD Section CNU : 61, 26, plus marginalement 29 Affectation : INSA Rennes, Département Electronique et Télécommunication et laboratoire IETR équipe SIGNAL (SIGnal processing and ALgorithms). Nature du contrat : CDD de 36 mois Date de prise de fonction : 5 janvier 2026 Rémunération : selon expérience, selon…

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