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at CRHEA (CNRS / Université Côte d'Azur) is opening a two-year postdoctoral position starting in early 2026. CRHEA is an internationally recognized research laboratory with strong expertise in nanophotonics
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methodologies. • Proficiency in using computer tools and software dedicated to data processing. Personal qualities: • The postdoctoral researcher must be motivated, rigorous, well-organized, and able to work
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Assume the role of postdoctoral researcher for the combination of 360-degree
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has been produced, the postdoctoral researcher (M/F) may be involved in targeted field surveys to analyze and understand the role played by images in mobilization and by the actors who produce and
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to carry out the following tasks: Development of analysis scripts for the preprocessing and automated processing of functional neuroimaging data; Statistical modeling of imaging data and evaluation
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, library preparation, cell culture, and imaging - Proficiency in computer languages (bash, python, awk, R) - NGS/omics data analysis - Proficiency in statistics for high-throughput data analysis - Generation
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expertise in plant sciences, optical technologies, and data processing. The existing imaging Mueller polarimeter, which is sensitive to the microstructural properties of biological tissues, will serve as the
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Postdoctoral researcher (M/F), synthesis of crystal phase heterostructures by Molecular Beam Epitaxy
processing and analysis of TEM images (segmentation, extraction of morphological parameters). Modeling of growth and phase transitions (nucleation kinetics, diffusion mechanisms, droplet stability). Optical
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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
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in a highly competitive international context. The project aims to prototype energy efficient solutions that will enable the HL-LHC and SKA to reliably process and analyze the huge volumes of raw data