-
. The researcher will join a multi institute research group working on ptychography being between the microscopy platform in CEA Grenoble and the transmission electron microscopy group at Institut Néel. The aim
-
using multiomics approaches and cell culture. Participation in human bone marrow sampling at the University Hospital in collaboration with neurosurgeons Multi-omics data analysis (proteomics and RNA seq
-
security for the Cloud type infrastructure. The objective is to contribute foundational results for reliable algorithms in large scale Cloud architecture or multi-cloud systems. The position is available
-
candidate will be involved in a research project focused on the exposure to carcinogenic chemicals in the general population, using a multi-matrix approach. The main analytical work will involve
-
joint research unit of Côte d’Azur University, Côte d’Azur Observatory and CNRS (the French Centre National de la Recherche Scientifique). It has teams in Galaxies and Cosmology (G&C), Instrumental
-
About the LCSB The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Luxembourg Centre for Systems Biomedicine
-
of the fractional quantum Hall effect, particularly multi-orbital systems. The postdoctoral researcher will work on one-dimensional codes based on DMRG, and may also explore the use of intrinsically two-dimensional
-
the field of integrated structural biology. The IBS is a research center, a technical platform, a host site and a scientific training center. Its mission is to develop research in structural biology, a field
-
with advanced microscopy techniques.At the core of this platform is the **SOLANO miniaturized hexapod robot**, developed by the industrial partner Symétrie, which enables submicron-resolution, multi
-
Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO | Grenoble, Rhone Alpes | France | about 1 month 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