Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- CNRS
- Nature Careers
- Institut Pasteur
- Universite de Montpellier
- IMT - Atlantique
- Inria, the French national research institute for the digital sciences
- Université Claude Bernard Lyon 1
- Université de Bordeaux / University of Bordeaux
- Grenoble INP - Institute of Engineering
- Inserm UMR-S 1250
- Nantes Université
- Observatoire de la Côte d'Azur
- Télécom Paris
- University of Lille
- Université Savoie Mont Blanc
- Université Toulouse III Paul Sabatier
- Université de Caen Normandie
- Université de Strasbourg
- 8 more »
- « less
-
Field
-
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
-
Eligibility criteria Instrumental optics and imaging (microscopy, camera detection) for biology. Skills in coding and experiment control. Basics of machine learning and/or signal processing. Teamwork
-
and numerically predicting the infiltration of the final matrix by CVI. To this end, X-ray tomography acquisitions will be performed; the images will then be analyzed and processed to produce (i
-
conduct in vivo experiments to investigate retinal neurovascular dynamics using the AO-RSO system; Develop or adapt high-speed image acquisition and processing methods for simultaneous measurement
-
research prototype, a system designed to integrate GDPR compliance directly at the operating system level. Main tasks : - Becoming familiar with the rgpdOS prototype - Designing BPF functions to extend
-
explainable. Our team builds upon over 20 years of expertise in image processing algorithm research and more than 15 years of experience in developing open-source software for image processing and digital art
-
project on the release of hormones, neuropeptides, and neurotransmitters by exocytosis, which is mediated by a vesicular fusion process whose mechanisms are well established. However, the mechanisms
-
teaching, at the service of the patient. It aims to better understand and treat electrical dysfunctions of the heart that are the cause of many cardiovascular diseases representing nearly a third of deaths
-
, involving expertise in optics, electronics, image and data processing, chemistry, and biology. With the support of several European funding programs, the team is building a data science and machine learning
-
Mathematics, Computer Vision, or Data Science. -Knowledge of statistical inference methods and machine learning. -Experience in spectroscopy and imaging is an asset. -Strong programming skills in Python