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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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time in a cyanobacterium, challenging the usual paradigm according to which cyanobacteria biomineralise CaCO3 extracellularly as an indirect by-product of photosynthesis (Couradeau et al.; 0.1126/science
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security, artificial intelligence, image and text processing, microelectronics, etc. The laboratory is particularly involved in AI research, notably developing work on generative models to accelerate
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of the underlying physics and its applications in different fields, such as imaging [3], Lidar [4], holography [5]… Unlike conventional optical components, metsaurfaces give the possibility of creating active
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devices on 300 mm wfers. - Obtain images and chemical maps of polycrystalline layers or PCM devices by TEM and STEM (EELS, EDX). - Write reports and publications Phase-change memories (PCMs) are emerging as
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experiments and numerical simulations and will be divided into three parts: Microstructure: 1.1. Experimental Characterization: Using X-ray tomography, image analysis with conventional tools or deep learning
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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