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actions in distributed power grid systems at INSA Lyon (France). This thesis is co-supervized by LAAS-CNRS. Future energy networks will increasingly rely on interconnected and distributed infrastructures
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around 2400€ net per month depending on background. Applicant Profile • PhD Degree in electronics, electrical engineering or computer sciences • Background in multiprocessor architecture, embedded systems
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metabolomics gained during their PhD, covering the entire analytical workflow, from sample preparation to data analysis. A good understanding of plant metabolism is also desirable. Skills ➢ Qualifications
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internships and contribute to the supervision of PhD students. * Participate in the activities of the associated European and national research projects. REFIMEVE is a national research infrastructure dedicated
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Plasmodium genomic data analysis; see https://mrc-ide.github.io/PGEforge/. Data partitioning: The 24,409 analysis-ready samples will be extracted and partitioned into subsets by country (since this is the most
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for Systems Analysis and Architecture (LAAS) within the MechaBioFluidics team, which has extensive expertise in microfluidics and microfabrication (a technology platform of the national ReNaTech network), in
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 3 months ago
an experience in computer networks. Theoretical expertise: distributed systems, P2P networks Good collaborative and networking skills, excellent written and oral communication in English Good programming skills
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structure and hydrogen migration pathways. Integrated Approach and Modeling Framework The project is based on a multiscale observation strategy that combines dense nodal seismic networks, distributed acoustic
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to different seismically active regions of the world, starting with Alaska, Japan, Chile and Peru. Expected outcome The expected outcome of the project is a fully operational graph neural network for rapid
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the context of a PEPR project, in collaboration with eight CNRS and CEA laboratories working on the future of electrical grids. More specifically, it is linked to WP5, dedicated to cybersecurity and network