173 parallel-processing-"International-PhD-Programme-(IPP)-Mainz" Postdoctoral positions at CNRS
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documentation of software applications for analyzing and processing GNSS and InSAR data. Jointly analyze GNSS and InSAR datasets for various scientific applications and validate the consistency of the results
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experiments in freely behaving mice by manipulating brain activity using pharmacological tools 2) Develop tools for the analysis of behavioral and neuronal data 3) Process, interpret, and present the results
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range in terms of accuracy and stability. The postdoctoral researcher will work with the team to develop, characterise and implement the various improvements until the instrument is back in operation and
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the Paris region specializing in environmental and climate sciences at the Institut Pierre-Simon Laplace (IPSL) (https://www.ipsl.fr ). The LOCEAN team's work focuses on studying the physical processes
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the coagulation process - Expertise in fluorescence microscopy; proficiency in fluorescence video microscopy would be appreciated - Expertise in flow cytometry (in vivo immune cells) - Experience in
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, bus). The successful candidate will work in the ICS's Polymer Engineering and Process Intensification (IP2) team, which is made up of six teacher-researchers and several doctoral students and engineers
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for producing recycled materials with competitive performance. Our team has been particularly interested in exploiting supramolecular assembly, phase separation, and reactive processing to address this challenge
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fluxes not represented by ISBA, and hence evaluate the potential effect of those on the carbon accumulation processes and CO2 emissions. - 1D ISBA simulations on the Abisko, Churchill and Zackenberg sites
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project aims to develop model vitrimer systems produced in powder form (at the CP2M laboratory) and to understand the fundamental mechanisms of stress-assisted sintering, a central process for achieving
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feature filtering procedure to deal with the large feature set necessary to predict the thermoelectric ZT of a material. - Improve the already existing experimental dataset. - Apply different machine