Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
to the identification of host and microbial metabolites and their pathways involved in metabolic diseases, including delineation of their genomic, metagenomic and environmental determinants. The objective is to develop a
-
of water transport in roots. This mechanism has been observed in various species following the identification of a new gene controlling root hydraulics. It reveals unexpected links between cellular
-
-24-CE02-6823 ). • Identification of a target gene specific to Choristoneura fumiferana in mitochondrial DNA • Development of a qPCR and ddPCR protocol to quantify this target gene in sediment matrices
-
) ● Developing multiplexed RNA-FISH assays for cell type identification ● Quantifying nuclear organization features (3D chromatin structure, topology, chromatin state) ● Analyzing imaging datasets using
-
the identification of active sites for catalytic reactions. Exploring charge transfer doping mechanisms, a novel approach to enhancing catalytic activity, and investigating the role of substitutional nitrogen defects
-
UMR 7311), whose mission is the identification of new bioactive molecules with potential applications in therapeutics and cosmetics. The scientific approach ranges from the design of new structures
-
Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 12 days ago
) Optimization and parameter identification methods Data-driven modeling and machine learning Physics-Informed Learning (or hybrid modeling approaches) Handling and analysis of large-scale datasets (e.g., mobility
-
interfaces in batteries by the identification of chemical species. Efforts are still required to design reliable operando cells for XPS investigation, as most of battery limitations originate from electrode
-
implement and train neural network architectures, including Physics-Informed Neural Networks (PINNs), in order to integrate physical constraints into the learning process and improve the identification and
-
missions: - Characterization of liver somatic mosaicism. - Identification of novel genes using ultra-deep WES. - Analysis of CHIP prevalence and impact in chronic liver diseases. - Integration of genomic