29 digital-image-processing-phd-scholarship Postdoctoral positions at CNRS in postdoctoral
-
photoluminescence imaging (HMSPL) to detect and study previously unrecognized anatomical and chemical contrasts that enable better identification of the whole or partial specimens analyzed. - Data processing and
-
/ constrain their planetary systems , (ii) analyse the spectropolarimetric data with Zeeman-Doppler imaging (ZDI) to reconstruct the evolving stellar magnetic topologies and characterize the underlying dynamo
-
processing, analysis, and interpretation. 3) Developing innovative methodologies to improve the understanding of sediment dynamics. 4) Co-supervising the recruited study engineer within the project and
-
microscopy, depending on the candidate's expertise; - analyse quantitative biochemical, biophysical, imaging, and cellular data; - integrate experimental findings with computational predictions generated
-
for developing and optimizing plasma-based functionalization processes for ferrimagnetic nanoparticles. The successful candidate will be responsible for investigating the relationships between plasma parameters
-
. - Process, analyze and interpret mass spectrometry data and complementary analytical data. - Assess the performance and limitations of the different approaches and propose methodological improvements
-
C Moutou. This project aims at modeling the magnetic topologies and accretion processes of pre-main sequence low-mass (T Tauri) stars, monitored with the SPIRou near-infrared spectropolarimeter
-
project aims to develop digital polymers capable of storing binary information at the molecular level. To achieve this, we will synthesize sequence-controlled polymers using a multi-step solid-phase
-
approach. The project's overall framework encompasses the key facets of biodiversity (levels of biodiversity, biological groups and variability), the forces and processes that shape them, their spatio
-
the material production process (in collaboration with IFPEN). Work Environment The postdoctoral researcher will work at the Centre de Recherches sur les Macromolécules Végétales (CERMAV, UPR 5301), located