Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
feeds Stage - Bac+4/+5 - Développement modules logiciels (Python) - H/F 14 / 723 vacancy Détail de l'offre Description du poste Domaine Mathématiques, information scientifique, logiciel Contrat Stage
-
feeds Stage - Bac+4/+5 - Programmation Python pour le pilotage d'instruments de caractérisation - H/F 198 / 754 vacancy Détail de l'offre Description du poste Domaine Composants et équipements
-
merging for efficient semantic segmentation. In: Proceedings of the 21st International Conference on Computer Vision Theory and Applications (VISAPP), pp. 43–54. (2026). [2] Sassoon, J., Szczepanski, M
-
workspace learning,” in European Conference on Computer Vision, 2026. [3] A. Brazi, B. Meden, F. M. de Chamisso, S. Bourgeois, and V. Lepetit, “Corr2distrib: Making ambiguous correspondences an ally to
-
PYTHON, Pytorch, CUDA, proprietary software Profil du candidat Profile : Students in their 4th or 5th year of studies (M1, M2 or gap year) Computer vision skills Machine learning skills (deep learning
-
of studies (M1, M2 or gap year) - Computer vision skills - Machine learning skills (deep learning, perception models, generative AI…) - Python proficiency in a deep learning framework (especially
-
. Moyens / Méthodes / Logiciels Python, Matlab, SPECTRA Profil du candidat Vous préparez un Bac+5 (Diplôme École d'Ingénieurs, master 2 ou équivalents) en computer vision, data science, IA, traitement du
-
of Textual and Visual Semantic Analysis (LASTI) conducts its research in the field of natural language processing and computer vision to extract, classify and generate information. The laboratory's
-
: Master's (M2) or engineering-school student in machine learning, applied mathematics or computer science Strong linear algebra; probability and optimization are a plus Solid Python and PyTorch Care in
-
les connaissances d'un modèle de vision fondé sur un Transformer (ViT, Swin) vers un réseau convolutif compact (ResNet, MobileNet). Le stage portera notamment sur l'alignement des représentations