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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 6 days ago
accurately study the selected algorithms, participate in the development and maintenance of the PEPit (https://pepit.readthedocs.io/ ) and AutoLyap (https://github.com/AutoLyap/AutoLyap/ ) software packages
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Job related to staff position within a Research Infrastructure? No Offer Description Development of theoretical models to describe the collective migration of immune cells Development of models
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model's development. The position is based at LOCEAN on the Pierre and Marie Curie campus of Sorbonne University. The LOCEAN laboratory (https://locean-ipsl.upmc.fr ) is one of nine laboratories in
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charge/discharge cycles. The aim is to provide a unique tool to better understand the structure and evolution of interfaces/interphases in batteries, and thus, guide the design of more efficient and
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a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description · Contribute to the development and improvement of natural vegetation dynamics in the latest
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at the IJM. This recently created team studies ancient genomes to better understand human evolution and its implications for biology and health. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre
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at the IRIT-ENSEEIHT campus in Toulouse. Integrated within the REVA team at IRIT. Strong interaction with ALICIA-Vision LabCom partners (CNRS / Technicolor-Mikros). Where to apply Website https://emploi.cnrs.fr
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researcher will contribute to the development of innovative end-of-pipe solutions aimed at intercepting and reducing microplastic emissions during storm events. -- Monitor several rainfall events at selected
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, access to computer cluster Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8197-VALHER-212/Candidater.aspx Requirements Research FieldBiological sciencesEducation LevelPhD or equivalent
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modelling. MISSION You will actively contribute to the development and evaluation of new hybrid computational method to predict biological tissue deformation with subject-specific material properties