Sort by
Refine Your Search
-
Listed
-
Employer
- Nature Careers
- CNRS
- NeuroSchool, Aix-Marseille Université
- Université de Lille
- Grenoble INP - Institute of Engineering
- Institut Pasteur
- Sorbonne Université SIM (Sciences, Ingénierie, Médecine)
- Université d'Orléans
- CETHIL (INSA-LYON)
- CNRS - Aix-Marseille Université
- Centrale Lille Institut
- Centre des Sciences du Goût et de l’Alimentation, UMR1324 INRA, UMR6265 CNRS, Université de Bourgogne, Agrosup Dijon, F-21000 Dijon, France
- ENS de Lyon
- Ecole nationale des chartes
- ICube (UMR 7357)
- IMT Mines Ales
- IMT Nord Europe
- Inria, the French national research institute for the digital sciences
- Institut Agro Rennes-Angers
- Institut Curie - PSL
- Institut Fresnel
- LMOPS - UNIVERSITE DE LORRAINE
- Mines Paris
- Télécom Paris
- Université Clermont Auvergne
- Université Grenoble Alpes
- Université Paris-Saclay GS Géosciences, climat, environnement et planètes
- Université Paris-Saclay GS Physique
- Université de Lorraine
- Université de Picardie - Jules Verne
- Université de Poitiers - Institut PPRIME
- Université de Tours
- Université du Littoral Côte d'Opale
- 23 more »
- « less
-
Field
-
the Facility, they will be responsible for the proper operation of the in vivo imaging equipment of the Institute, training and assisting users to develop new protocols matching custom needs, supporting users in
-
competences in Artificial Intelligence models, medical image processing, and mathematical modeling (Master 2 level). We seek solid programming and IT skills, along with good communication abilities and an
-
participate to scientific life of the teams. 3- Profile and skills required We are looking for a candidate with competences in Artificial Intelligence models, medical image processing, and mathematical modeling
-
Master/engineer degree in computer science, applied mathematics, data science with background in image processing, imaging inverse problems, deep learning and optimisation. Good coding skills for numerical
-
a challenging problem. Candidate profile PhD on optimization and/or image processing. Strong background in applied mathematics, image processing, learning methods and algorithms. Good coding skills
-
. Philion and S. Fidler, “Lift, splat, shoot: Encoding images from arbitrary camera rigs by implicitly unprojecting to 3d,” in Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28
-
of the domain, while the pre-processing step of geometry manipulation and mesh generation is one of the most important efficiency bottlenecks in such methods. The challenge is more prominent in modern, real-world
-
. Required Skills and Candidate Profile The project is intended for a candidate with: ➢ Skills in medical image processing and deep learning adapted to clinical applications. ➢ A good knowledge of Python
-
micro-environment (dendritic cells and anti-tumoral T lymphocytes) and to decipher how immunotherapies impact on these processes. The main objectives of this project are: – to implement single cell RNAseq
-
-processing, the problems of aberrations and reverberations that generally pollute ultrasonic imaging (Bureau, 2003). Marine acoustic imagery is often faced with more deterministic multi-layer environments