Type annonces : Proposition de poste

[StageM2] à l’IGN : Reconstruction 3D des arbres à partir de données LiDAR Aérien

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la fiche de poste est ici : https://drive.google.com/file/d/1a7jNS5BznDKvolkx0eUoKLQPrSpiey6j/view?usp=sharing et en anglais : https://drive.google.com/file/d/1ocL8AfuDqrhYymrzDshp3XO_HspttbU_/view?usp=sharing reconstruction 3D des arbres, LiDAR, traitement de nuages de points, apprentissage profond, génération procédurale La reconstruction 3D constitue une tâche essentielle pour l’analyse urbaine et la production de jumeaux numériques à partir de données LiDAR. Si la…

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[StageM2] Deep Learning for Early Identification of Neurodevelopmental alterations through the Analysis of Cardiac Autonomic Regulation

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Advisors: Hugues Patural (Professor – PU-PH – CHU Saint-Etienne) and Olivier Alata (Professor, Hubert Curien Lab, UMR CNRS 5516) Host laboratory: Sainbiose Lab – DVH UMR 1059 INSERM / Université Jean Monnet, Saint-Étienne, France. Starting date: Spring 2026 – Application deadline : 15th of December, 2025 – Possibility of continuation…

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[StageM2] Deep learning for UAV-based object re-identification (ReID)

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Host laboratory: Connaissance et Intelligence Artificielle Distribuées (CIAD) – http://www.ciad-lab.fr. Université de technologie de Belfort-Montbéliard (UTBM). Keywords: deep learning, object re-identification (ReID), person re-identification (ReID), UAV vision, aerial imagery, computer vision, generative models (GAN, Stable Diffusion) Contacts:  Abderrazak Chahi (abderrazak.chahi@utbm.fr), Mohamed Kas (mohamed.kas@utbm.fr), Yassine Ruichek (yassine.ruichek@utbm.fr)  Description of the internship topic:   Object Re-Identification (ReID)…

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[StageM] Neuroporthèses Assistés par IA et vision LABRI UMR5800

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Towards a complete processing chain of 6D pose estimation for upper limb neuro-prostheses control Supervisors:Jenny Benois-Pineau (Labri, U Bordeaux), co-supervisor Renaud Péteri (MIA, U La Rochelle) Context The context of this internship is visual assistance for controlling bionic neuroprostheses. The LABRI and MIA laboratories are involved in a national project,…

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[StageM2] Multimodal and robust prediction of radiotherapy toxicities: fusion of foundation models for low-resource data

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Keywords AI, CT-Scan, foundation models, deep learning, Data fusion, personalized medicine Context Radiotherapy is a cornerstone of cancer treatment, enabling the selective destruction of tumor cells while controlling disease progression. Despite its proven efficacy across many cancer types, it can also inadvertently damage surrounding healthy tissues, leading to adverse effects…

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[PostDoc] Postdoctoral Researcher Position

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AI/ML for Clinical Proteomics (DIA Mass Spectrometry Data) We are looking for a highly motivated Postdoctoral Researcher to lead the development of innovative Artificial Intelligence (AI) and Machine Learning (ML) models for the analysis of Data-Independent Acquisition (DIA) proteomics data. This position is part of the ANR-funded AIDIBOP project, which…

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