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in Python. - Skills in 3D image rendering (optional) - First year post-doc are encouraged Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5169-ANTWYS-007/Default.aspx Work
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phenotypes • Analyze images and other data • Optimize induced pluripotent stem cell (iPSC) protocols • Disseminate and enhance research findings • Establish standard operating procedures (SOPs) This project is
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experimentation - Expertise in multi-parameter flow cytometry, microscopy, and imaging techniques - Strong background in scientific data analysis Skills: - Ability to develop new preclinical study models
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. CEMHTI is a CNRS laboratory (approximately 100 people) and hosts an NMR platform with 6 spectrometers (from 200 to 850 MHz) and a variety of MAS probes (from 7 to 0.7 mm) or static probes for imaging
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approaches (bioinformatics /comparative biology/ genetics/ epigenetics/ genomics/ biochemistry/ imaging/ modelling) empowered by scientists with diverse profiles and expertise (geneticists, genomicists
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of Dr. Johan Decelle, who is part of the EMBO Young Investigator Program The team's projects aim to better understand the functioning of unicellular photosymbiosis by combining sub-cellular imaging
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microbial abundances and biomasses via dPCR, flow cytometry, flow imaging and HPLC approaches. - Quantification of microbial activity (soil enzymes, microbial respiration, etc.) - Management of sampling
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scenarios for possible « hydrogen » systems in the basin. This will be done using a prototype version of the TemisFlow commercial software developed by IFPEN. - The first part of the work will consist of a