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environment, with access to state-of-the art brain imaging facilities (two research-dedicated MRI scanners / 1.5 and 3T, hybrid PET-3T MRI, MEG-EEG). The vibrant research community at CRNL and other nearby
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single-cell level in the moss Physcomitrium patens. The project will combine cutting-edge approaches in developmental genetics, live imaging, and single-cell genomics. Research environment : The RDP
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Information Eligibility criteria The candidate must: - Hold a PhD in microbiology or cell biology - Have significant experience in fluorescence microscopy: time-lapse, dynamic imaging, multi-channel, etc
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interaction models to thermal boundary layers requires collaborating with the PhD student, who will undertake direct numerical simulations (DNS) using in-house codes to analyse heat transfer enhancement under
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CARNOT project, GALOPER. Galoper is a joint project between GPM Rouen and LCS Caen aiming at building up a complete picture of the mechanisms controlling the Gallium oxide behavior within the porous MFI
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adapted to the probing of these volatile components. Computation using the DEW (Deep Earth Water) code is mandatory. For each equipment, we have topnotch technical support at ISTO as well as in
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- evolutionary theories ● Interpretation and formatting of the results obtained (publications) ● Proficiency in programming languages (Bash, Python, R), code management tools and software environments (Gitlab
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using the KM3NeT detectors • Data analysis from SVOM instruments as well as images from the COLIBRI telescope • Participation in KM3NeT shifts and service tasks (calibration, construction, processing), as
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candidate will use the 'Phase_Field' code developed within the GPM UMR 6634 modeling team. - Writing of scientific publications. GPM (Materials Physics Group, UMR CNRS 6634) is organized in 5 departments
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. • Demonstrated skills in bioinformatic and statistical analyses of microbiome and ecological data including sequencing data. • Analysis skills: write and execute code in R, Python, GitHub etc., high-performance