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films, the thin film patterning in clean room, the magnetic anisotropy measurements, the surface morphology analysis, the magnetic sensors characterization The selected candidate will be responsible
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The postdoctoral researcher will work in the context of the ANR GroupSolve project, which aims to provide a quantitative analysis of collective problem-solving mechanisms in human groups (in Toulouse) and in baboons
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of malaria parasites. We are especially interested in understanding the regulatory network orchestrating the original cell cycle that characterises malaria parasites and how checkpoint like decisions are made
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selecting teaching strategies - Designing and analyzing well-being measures - Experimental deployment on the LabNBook and UNESS platforms - Scientific analysis and publications The work will take
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The postdoctoral researcher will join the "Network Dynamics & Computations" team led by Srdjan Ostojic and develop research projects on modeling neural circuits and their role in behavior. The work will focus
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metastability processes under different operating conditions (dark, illumination, electrical bias); Spatial analysis of performance inhomogeneities and degradation mechanisms using optical and electrical mapping
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"Physiology of Neural Networks" team and will be in charge of a research project aimed at understanding the mechanisms of integration of cerebellar information in pyramidal cells and interneurons of the motor
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: - Proficiency in social network analysis and data harvesting - Experience in documentary production and/or image analysis - Experience in conducting photo/video elicitation interviews - Experience with
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subcellular localization or actin dynamics, the candidate will investigate the impact of mitochondrial activity and the actin network on germ granule functional organization. - Drosophila genetics - Molecular
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currents on plankton diversification. (S)he will study the connectivity of water masses using a lagrangian approach and design a population genetic model on the connectivity network. - Lagragian