Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Institut Pasteur
- Nature Careers
- CNRS
- Université Savoie Mont Blanc
- UNIVERSITE PARIS CITE
- ASNR
- BRGM
- CEA
- CEA-Saclay
- European Magnetism Association EMA
- Inria, the French national research institute for the digital sciences
- Inserm
- University of Montpellier
- Université Grenoble Alpes
- Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO
- 5 more »
- « less
-
Field
-
environmental changes and how these experiences shape lifestyles and consumption practices. In the context of the Anthropocene, rapid and profound environmental transformations are generating new forms
-
to specialize the memory management of several applications, including virtual machines. Running memory management policies in user space opens up new opportunities, particularly the integration of AI models
-
for biomarkers in 7T images. - Development of artificial intelligence algorithms and models for the processing and analysis of MRI images/spectra, focusing on the detection of tumor tissue and the quantification
-
and physics, Materials Mechanics, Geotechnics, and Civil Engineering Proven skills in laboratory and/or field experimentation Potential aptitude in numerical modeling Ability to work in a team and in
-
, immunoblotting) and of phenotypic characterization of animal models Where to apply E-mail laurent.lecam@inserm.fr Requirements Research FieldBiological sciences » BiologyEducation LevelPhD or equivalent Skills
-
obtained from ex vivo robotic tests will inform multiscale numerical models of tissue mechanotransduction, calibrated using in vivo murine gait analysis and behavioral tracking provided by IRMB
-
results and absence of an explanatory condition) taken as a model of medically unexplained symptoms in adulthood. Analyses will be conducted using data from the French CONSTANCES population-based cohort
-
University. The contract staff recruited will be integrated into the ModES 'Modelling and Spectroscopy' team and will work directly with Dr Morgane VACHER. Where to apply Website https://emploi.cnrs.fr
-
Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO | Grenoble, Rhone Alpes | France | about 18 hours ago
multi-expert segmentation databases. The postdoctoral fellow will focus on integrating segmentation variability into deep learning models, with the goal of assessing prediction reliability and enabling
-
biology OR virology A solid background in virology, transcriptomics and imaging Hands-on experience with experimental animal and/or iPSCs models Technical expertise in working in BSL-3 environment A