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PhD student (M/F) in Polymer Chemistry: Synthesis of cross-linkable, degradable and recyclable latex
latexes with a regular and dense distribution of dynamic/cleavable thioester [-S-C(=O)-] or disulfide [-S-S-] clusters along the polymer backbone. To confer new properties, we will exploit the thiol
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. - Compilation of a curated catalog of archaeal genomes from public data and newly obtained data within the team. - Orthogroup inference, multi-clade pangenome graphs to detect genes with restricted distributions
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, including 180 permanent staff (researchers, professors, engineers, technicians, and administrative personnel) and around 180 non-permanent staff (PhD students, postdocs, and fixed-term contracts). Each year
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collaborative projects of medium or long duration, during which they learn to manage a project by coordinating activities, distributing work, and making collective decisions. Students generally rely on shared
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on the distribution of m6A in different cellular fractions (nucleus, cytosol, polysomes, untranslated RNA) and in viral particles, in order to link these modifications to translation efficiency, localization, and
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to : - characterize and compare the distribution and the speciation of selenium in soils associated to the extremes of transfer factor values, - conduct an in-depth study of Se transfers via monthly monitoring over one
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 1 month ago
is an Inria research team is the domain of distributed systems and software engineering. Spirals aims at introducing more automation in the adaptation mechanisms of software systems, in particular
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of turbulent flames in distributed combustion regime via a hybrid RANS (Reynolds averaged Navier Stokes approach) / LES (Large Eddy Simulation) formulation (CNRS, ULB) Supervisor: Denis Veynante (CNRS) Where
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that shape the design of these circuits. The lab is dedicated to medical algorithmics on the applied research front, emphasising technologies implementable within hospitals. Notably, the lab’s medical image
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slicing. - Develop advanced AI/ML algorithms and data analytics techniques to automate and optimise exposure requests, adapted to available resources and real-time demand. - Propose and