Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- CNRS
- Inria
- Institut Curie - Research Center
- Institut Curie
- Universite de Montpellier
- Université de Caen Normandie
- École Normale Supérieure
- Avignon University
- BRGM
- CEREGE - CNRS
- CNRS Strasbourg University
- ESRF - European Synchrotron Radiation Facility
- Ecole des Mines de Saint-Etienne
- European Synchrotron Radiation Facility
- French National Research Center
- French National Research Institute for Agriculture, Food and Environment (INRAE)
- IC2MP - University of Poitiers
- IMT Atlantique
- INSA Rouen Normandie
- IPCMS
- IRD Occitanie
- Ifremer - French Research Institute for Exploitation of the Sea
- Institut de Physique et Chimie des Matériaux de Strasbourg (IPCMS)
- Laboratoire d'Ingénierie des Systèmes de Versailles (LISV), Université Paris-Saclay
- Nantes Université
- Université Bourgogne Franche-Comté - UBFC
- Université Claude Bernard Lyon 1
- Université Gustave Eiffel
- Université de Lille
- Université de Pau et des Pays de l'Adour - UPPA
- Université de Picardie Jules Verne
- [email protected]
- phlam laboratory
- 23 more »
- « less
-
Field
-
pathomics dedicated to personalized medicine. This innovative and rich approach stems from the explanatory integration of deep learning in computational histopathology as well as spatial transcriptomics
-
processes is particularly challenging due to limited observations of processes occurring in the subsurface environment. An important challenge is to define the spatial variability of subsurface parameters
-
imaging at spatial resolutions from macroscopic to nanoscopic. Axis 3: Analysis of the reactivity of the studied system under the effect of physical, chemical, biological, or mechanical disturbances
-
information flows in the brainstem during such integrative reflexive behaviors by assessing the direction of neuronal communication or causality. Although correlation analysis of neural activity signals is
-
describing the organization and spatial evolution of hedged landscapes in Normandy. More specifically, it aims to identify, using methods from remote sensing and landscape ecology, hedged landscapes with
-
dynamics and farmland biodiversity. Strong quantitative skills and experience with statistical analysis and modeling techniques relevant to spatial and temporal ecological data. Proficiency in modelling
-
Laboratoire d'Ingénierie des Systèmes de Versailles (LISV), Université Paris-Saclay | France | 2 months ago
performance in comprehending and reasoning about spatial-temporal data, the framework combines the advantages of neural networks with symbolic reasoning. In light of this analysis, the project will provide a
-
with: - keen interest to analyze complex heterogeneous biological data - prior experience in the analysis of sequencing data (RNA-Seq from bulk, single-cell and/or spatial transcriptomic) - competence in
-
, investigating temporal and intra-tumoral/spatial heterogeneity as well as tumor/tumor microenvironment interactions in adult gliomas and pediatric brain tumors. Projects in the Cavalli lab are developed within a
-
imaging a wide range of species — from trace ions to protein complexes — with high spatial resolution, these bioorthogonal tools can inform on cellular injuries even inside deep tissues (> 1 mm). Therefore