Nous recherchons un(e) jeune chercheur(euse) intéressé(e) par les problématiques d’apprentissage fédéré dans un cadre de sécurité dans des réseaux de type Cloud. Dans ce cadre, nous cherchons à concevoir des outils d’apprentissage automatique respectueux du RGPD donc présentant au minimum, Dans ce cadre, l’apprentissage fédéré a plusieurs avantages. Par exemple,…
The postdoctoral project is part of the new CAI4Science (AI for Science in Caen) interdisciplinary initiative within the University of Caen Normandy. CAI4Science is an ambitious research project that aims to harness the transformative potential of artificial intelligence (AI) to accelerate scientific discovery across various fields. The project brings together…
The MINDs team at the IRIT laboratory in Toulouse is currently seeking a postdoctoral researcher to work on unsupervised learning for super-resolution image reconstruction in the context of ultrasound localization microscopy (ULM). This postdoctoral position is funded by MIC (Mathematics and Computer Science) – INSERM and brings together leading research…
Dans le cadre de ce poste, il s’agira d’utiliser des outils d’apprentissage profond (IA) pour corriger des mosaïques de de pluie obtenues par radars météorologiques. Le travail consistera à détecter des anomalie dans les cartes et à les corriger de façon statistique (denoising/inpainting). L’offre, à proprement parler, est accessible sur…
The PostDoc will join the Image et Vision Artificielle laboratory at the Université Bourgogne Europe. He/she will develop a collaborative project on waste sorting using artificial vision with the Wasoria startup, which is specialized in vision-based solutions (for waste sorting). In particular, the person will be working on ways to…
Work Description: Join us in pioneering the future of 3D scene representation and renderingwith Neural Radiance Fields (NeRF). Initially, NeRF models were resource-intensive to train,but recent advancements have significantly improved their efficiency. In the automotiveindustry, rapid and efficient inference is crucial. This project aims to push the boundaries ofembedded Neural…
Context This project will develop a novel framework for solving inverse problems in imaging, focusing on the joint reconstruction of a sequence of high-quality images from multiple degraded or incomplete observations. These inverse problems are typically addressed using neural network models that explicitly respect the underlying variational structure, enhancing both…
L’objectif de ce projet est d’inventer de nouvelles méthodes multirésolution pour l’apprentissage profond, avec différentes applications en traitement du signal audionumérique.
We invite applications for fully funded PhD and Postdoc positions in our research team at the Vrije Universiteit Brussel (VUB) and imec within the prestigious European Research Council (ERC) Consolidator Grant “Reinventing Multiterminal Coding for Intelligent Machines (IONIAN).” As data volumes captured by intelligent machines (such as video and point cloud signals) surge, traditional storage and communication approaches…
