Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Nature Careers
- CNRS
- Institut Pasteur
- Mediterranean Institute of Oceanography
- BRGM
- École nationale des ponts et chaussées
- ASNR
- CEA-Saclay
- FEMTO-ST institute
- ICMMO
- IFP Energies nouvelles (IFPEN)
- INSERM
- INSERM, Institut Imagine
- IRISA
- Inria, the French national research institute for the digital sciences
- Institut National Polytechnique de Toulouse
- Nantes Université
- The American University of Paris
- UNIVERSITE PARIS CITE
- Université Bourgogne Europe
- Université Côte d'Azur
- Université Paris-Saclay (UPS)
- Université d'Artois
- Université de Bordeaux / University of Bordeaux
- Université de Montpellier
- Université de Picardie - Jules Verne
- Université de Strasbourg
- Université de Technologie de Belfort-Montbéliard
- 18 more »
- « less
-
Field
-
) are the sentinel of the immune system. DCs are developmentally and functionally heterogeneous and encompass multiple subsets including XCR1+ IRF8+ DCs, and a variety of IRF4+ DCs (DC2As, DC2Bs, DC3s) and
-
functionally heterogeneous and encompass multiple subsets including XCR1+ DCs, and a variety of IRF4+ DCs (DC2As, DC2Bs, DC3s) and plasmacytoid DCs. DCs are short-lived cells continuously developing from
-
. Indeed, when multiple sources exist in the vicinity of a same sensing unit, their signatures mix and estimation of individual sources is disturbed by the other co-occurring sources. The aim of the doctoral
-
multiple tensor modeling: Several data modalities, including invasive (intracardiac electrograms, electroanatomic maps) and noninvasive (ECG, echocardiography), are acquired in the management of persistent
-
on baseline patients’ profile. Finally, we aim at enriching spatio-temporal treatment response models accounting for multiple imaging modalities (PET – CT) along with clinical and biological informations
-
- Benchmarking model-based and learning-based techniques for LiDAR-camera fusion - Designing new LiDAR-Camera fusion method that focus on the accurate and dense alignment of the two modalities - Adapting
-
the main bioinformatics software and methods (R, Python, Bash). Knowledge on large-scale genotyping/sequencing data analyses. Good level in statistics. Good level of written and oral English. Ease in a
-
organismal properties encoded in the interplay of multiple genes in a network? How does the polymer physics at the level of the DNA affect the identity of a particular cell type? Alternative questions