Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- CNRS
- Nature Careers
- Institut Pasteur
- CEA
- Université Savoie Mont Blanc
- Inria, the French national research institute for the digital sciences
- UNIVERSITE PARIS CITE
- ASNR
- BRGM
- CEA-Saclay
- CNRS-ENS-UCBL
- European Magnetism Association EMA
- Grenoble INP - Institute of Engineering
- Inserm
- Institut Imagine
- Universite de Montpellier
- University of Montpellier
- Université Bourgogne Europe
- Université Côte d'Azur
- Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO
- Université de Reims Champagne Ardenne
- 11 more »
- « less
-
Field
-
contribute to the development of a proof of concept obtained at University Côte d’Azur for accessing the content of a metabolomics knowledge graph (KG) with a large language model. It is Python prototype of a
-
developed so far to more general geometric settings, including discontinuous coefficients, obstacles with Dirichlet or Neumann boundary conditions, and possibly manifolds. Details on the scientific project
-
within the Faculty. Along with the disciplinary approach a very ambitious interdisciplinary research culture has been developed. The faculty's research and teaching focuses on social, economic, political
-
zebrafish and mouse lines Develop phenotypic rescue assays, based on selected readouts, in the generated disease models to test small molecule drug candidates Modern data management and precise project
-
The Machine Learning for Integrative Genomics team at Institut Pasteur, headed by Laura Cantini, works at the interface of machine learning and biology, developing innovative machine learning
-
focused on deep-phenotyping of individuals with autism and controls including brain imaging (MRI, fMRI, DTI and EEG) and a battery of cognitive tests. Our group is currently developing new methods
-
insights into humoral immunity. This knowledge also informs the development of novel immunogens, vaccine strategies, and therapeutic antibodies with broad and potent activity to fight human infections
-
-phenotyping of individuals with autism and controls including brain imaging (EEG and MRI) and a battery of cognitive tests. Our group is currently developing new methods for analyzing whole genome and brain