Sort by
Refine Your Search
-
at the IRIT-ENSEEIHT campus in Toulouse. Integrated within the REVA team at IRIT. Strong interaction with ALICIA-Vision LabCom partners (CNRS / Technicolor-Mikros). Where to apply Website https://emploi.cnrs.fr
-
of 360-degree vision and robotics (collaborative robot arm, humanoid robot) to enable the dynamic handover of an object from a person to a robot and carry it together to move it. - Activity 1: Substantive
-
Vision Profiler (UVP), and to analyse its spatial and temporal variability. This will be done by combining different data sources and machine learning (ML). Data used for this ML approach include - a
-
vision researchers to design algorithms specifically tailored for the extraction and analysis of these historical diagrams. EIDA considers these diagrams both as visual heritage and as tools
-
optics (imaging) -Experiment management -Data analysis As part of a research project between the "Waves in Complex Media" team and the Vision Institute, we are studying new imaging methods for recording
-
Post-doctoral Researcher in Multimodal Foundation Models for Brain Cancer & Neuro-degenerative Disea
radiologists involved in the projects. Training and research environment The Brain Imaging & Neuro Epidemiology group (BraINE) develops advanced methods for medical images analysis, combining computer vision
-
in Grenoble, France. Through its innovative engineering, pioneering scientific vision and a strong commitment from its 700 staff members, the ESRF is recognised as one of the top research facilities
-
Vision Profiler (UVP), and to analyse its spatial and temporal variability. This will be done by combining different data sources and machine learning (ML). Data used for this ML approach include - a
-
Experience1 - 4 Research FieldMathematicsYears of Research Experience1 - 4 Additional Information Eligibility criteria This position is specifically aimed at a PhD holder in vision-based control. The desired
-
evaluate the most suitable Vision-Language Models (5VLM) for automatically extracting technical information from 2D plans (PDF), 3D models (STEP), and text documents (standards, internal scales, etc.). You