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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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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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with numerous technological platforms (imaging, mass spectrometry, histology, animal facilities, etc.). Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR9002-KRZROG-008/Candidater.aspx
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• Exploration of dielectric-based resonant and non-resonant nanophotonic architectures compatible with large-area fabrication • Demonstration of prototype metasurface devices combining optical selectivity
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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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• Exploration of dielectric-based resonant and non-resonant nanophotonic architectures compatible with large-area fabrication • Demonstration of prototype metasurface devices combining optical selectivity
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be monitored with an ensemble of 1D pressure sensors and event cameras in a Particle Image Velocimetry (PIV) setting, to record the changes of large-scale velocity flow field. Event-based vision is
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characterization of C and SiC fibers - Training on bench use (in particular heating techniques by Joule effect, laser diffraction, infrared imaging, pyrometry, preparation of micrometric samples, ...) - Technical
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research and a solid training in genetics, molecular biology, and cell biology. Experience in yeast genetics and live-cell imaging (confocal and widefield) as well as extensive know-how in image analysis
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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