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of ancient DNA, particularly in the bioinformatic analysis of data generated by high-throughput sequencing technologies applied to ancient DNA characterization and whole-genome sequencing. They demonstrate a
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experiment. Finally, bioinformatics will be used to compare the sequences enriched in each experimental context (topology, addition of chemical modifications, medium composition). The most promising constructs
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; - interact closely with the team of Dr. François Robin (Sorbonne University), project partner for the development of experimental results and bioinformatics approaches; - develop statistical tools
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Additional Information Eligibility criteria ● A relevant PhD degree in semiconductor physics, material sciences, or similar. ● Hands-on experience with III-V semiconductor deposition processes (e.g. MOCVD, MBE
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Description The researcher will be responsible for developing and implementing a protocol aimed at studying motion processing and perception in both patients with macular degeneration and control participants
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innovative methods for processing and analyzing 7Tesla MRI images of different modalities and formats (NIFTI, DICOM, etc.) using machine learning and artificial intelligence techniques. These methods will be
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. The first mission of the postdoctoral fellow is therefore to process the RAD-seq data and combine them with the existing dataset. The postdoctoral fellow will then use this combined dataset to estimate recent
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. - Knowledge of linear/mixed models is a plus. - Familiarity with GWAS, population genetics, or bioinformatics pipelines are a plus. - Experience with the processing of genomic biological data (whole exome
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identify the morphogenetic processes underlying skeletal muscle growth and regeneration. Oversee and conducting innovative pipelines. As part of this research project, you will be required to: - Develop and
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Description The researcher will use modeled surface ocean microplastic abundances and improved sea-spray-based emission functions to represent ocean–atmosphere transfer processes. Using the GEOS-Chem global