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of Aurélien Ponte. LOPS is a joint laboratory between the CNRS, Ifremer, the University of Brest and the Research Institute for Development. Interaction with the SIAM team as well as CNES and CLS is expected
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nonlinear inverse Compton scattering and from extreme beam-multifoil collisions (eg in the E-332 experiment at SLAC). The project will include the development of advanced measurements and detectors
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
., changing the behavior vs. changing the graphical layout). We propose to first survey the existing commercial tools and literature on end-user development [1] and software customization [2, 4] to identify a
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multilayer systems has led to a deep understanding of acoustic phonons in such structures. However, the development of phononic devices operating in the GHz–THz range remains an open area, offering
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research project on development and phenotypic plasticity of the basal plant Marchantia polymorpha, with a focus on tissue mechanical properties and on plant responses to mechanical stress. The postdoc will
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time missions at CINaM in Marseille Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7643-CATHEN-002/Candidater.aspx Requirements Research FieldChemistryEducation LevelPhD or equivalent
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evolution, sequencing, population genomic) - take a central role in the management of collaborations - present the results during international and national conferences - literature monitoring and analysis
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: - Development of time resolved experiments to characterize and understand the nonlinearities of the new quantum devices. - Realisation of new sensitive THz detectors - Compare theoretical and experimental results
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in close collaboration to understand the molecular mechanisms that lead to the development of certain diseases such as cancer. The research centre provides an interactive and international working
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computational approaches to biological systems. Its core activity is the development of deep learning methods for protein design and optimization, with applications in biology and medicine. - activities: We