Sort by
Refine Your Search
-
concerned the conversion of (thio)esters into (thio)ethers via nickel-catalyzed intramolecular decarbonylation. This research axis was explored through a PhD project carried out in the laboratory and has
-
impact measurements, AFM imaging, and AFM-SECM experiments. The SEEAFM project will be developed within the Electrochemistry group of the IMF team at the CEISAM laboratory. Where to apply Website https
-
Description The postdoc will plan and conduct brain imaging studies on cue-reactivity, craving, and impulsivity in eating disorders, in the context of an IReSP funded research project. The postdoc will analyze
-
for the direct spatio-temporal measurement of the turbulent dissipation rate at a solid wall. New post-processing algorithms are also developed for Particle Image Velocimetry to measure extremely dense 3D time
-
dedicated to a major environmental and geopolitical issue? Ready to tackle a breakthrough solution for rare earth processing? REMMIA is a European project coordinated by Prof. Bernard Doudin of the Institute
-
for the intended application (varnish, paint). - Conducting bibliographic research. - Analysing, formatting and communicating the results. The work will be carried out at the Institute of Chemistry and Processes
-
set by the CNRS scale and commensurate with experience. A PhD in cosmology, astrophysics, or theoretical physics is required by the start date. The start date is October 1st- 2026. Application Procedure
-
, cell biology experiments, biochemistry, metabolic profiling, measurement of metabolic or electric activities via probes or MEA system, and in vitro imaging using confocal microscopy). • Animal experiment
-
, we observed size-specificity in the adaptation process at the phenotypic, genetic and mechanistic levels. However, we still do not understand the molecular pathways by which cell size shapes cellular
-
Information Eligibility criteria Applicants should hold a PhD in theoretical chemistry, physics, materials science, or a related field; -demonstrate strong expertise in machine learning (regression, neural