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. Description: This research spans several aspects of understanding the dynamics and structure of the Earth‘s crust and mantle to assess and mitigate hazards from earthquakes, landslides, and land subsidence
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. Description: This opportunity encompasses any atmospheric dynamics or structure research using imaging data from the Hubble Space Telescope Outer Planet Atmospheres Legacy (OPAL) program. The dataset consists
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analyzing single-cell transcriptomic data using Python. Strong skills in analyzing epithelial tissue dynamics. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR3215-YOHBEL-023
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 11 days ago
software application, in order to make them usable within the Moose software analysis platform.The work will propose a metamodel integrable into the Moose/FAMIX ecosystem to represent this dynamic
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”. In the research programme, we will combine advanced direct nanofabrication methodologies with techniques for characterising static and dynamic magnetic properties, with the ultimate goal of developing
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field as well as a vibrant start-up scene. Starting in 2026, the International Max Planck Research School (link to https://www.mpg.de/de/imprs ) for Privacy-Enhancing Technologies for the Digital Society
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such as NEURON or ARBOR, integrating mechanical variables (e.g. membrane tension and deformation) into ion-channel gating dynamics. The activity will enable the simulation of how focused ultrasound
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will work in a collaborative and innovative environment, alongside researchers and industrial partners. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/IRL2010-CEDBUC-002/Default.aspx
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our clinical affiliates. Apply online at https://yourfuture.sdbor.edu and attach a current curriculum vitae, contact information for three references, and a letter of interest. First review of
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on “Theoretical attosecond dynamics in molecules” at IMDEA Nanociencia inthe international CAMPUS research group led by F. Martín, funded by the ACXIOM-CM Synergy Project from the Comunidad de Madrid. The PhD