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is important to control their operating temperature and improve the dissipation of the heat generated during operation. The study is divided into 3 tasks : • task 1: the first task is devoted to a
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of experimental statistics, signal processing and excellent programming skills (eg Python, R, ...). Previous experience with model-based fMRI experiments, advanced multivariate data analysis and computational
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, the impact of the swelling of clay particles upon hydration, as well as the alteration processes associated to the circulation of alkaline water, with two main actions. 1- Analysis of the thermo-hydro
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of an effective system for rapid and robust storage and optimised processing of large quantities of collected data. 2. Development and improvement of algorithms for processing acquired geophysical data in order to
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experiments to investigate the diverse mechanisms (e.g attention, acoustic and semantic processing) involved when humans listen to naturalistic auditory scenes. The experiments will collect behavioral, MEG (OPM
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maintain, internal mechanical stresses [2]. These residual stresses remain even when all external forces are removed. Residual stresses likely contribute to the regulation of size in morphogenetic processes
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station, computer, access to computer cluster Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8197-VALHER-191/Candidater.aspx Requirements Research FieldBiological sciencesEducation LevelPhD
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skills for this position are: o Good knowledge of the technological challenges of agricultural/viticultural robotics. o Proven skills in: vision-based robot modeling and control; computer vision and
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approaches to model polarization. The aim of the project is to develop methodological tools to characterize and exploit the polarization information extracted from bivariate signals (i.e. two-dimensional
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data processing and/or modelling; Ability to work in interdisciplinary teams, and excellent communication skills in English; A demonstrated track record of publishing in international peer-reviewed