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Field
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scientific domains. Preferred Experience: Strong candidates may also have experience with: Large-scale neuroimaging datasets. GPU-based model training and distributed computing. Brain connectivity modeling
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scientific activities in support of ESA science-related activities. You are encouraged to visit the ESA website (http://science.esa.int ) for an overview of ESA’s Science Programme. Field(s) of activity
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Research Framework Programme? Horizon Europe Is the Job related to staff position within a Research Infrastructure? No Offer Description Temporary contract | 24 months | Belvaux Are you passionate about
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distribution. Both projects will develop the Fontan emulator to be patient-specific, MRI compatible, computer controlled, and quantitatively evaluated using advanced bench-top, CFD/FSI simulation, and MRI-based
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Context : The e CP project (Electrothermal Chemical Processes) [1] addresses
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refinement (TOPAS, GSAS-II, FullProf), ideally total scattering and pair distribution function analysis. Molecular conductors, radical and charge-transfer salts, or oxocarbon electrode chemistry. Synchrotron
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with the Center for Avian Population Studies (CAPS, https://www.birds.cornell.edu/home/center-for-avian-population-studies/ ), one of six programmatic units at the Cornell Lab. CAPS is the home of
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
31 Jul 2026 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Researcher Profile Recognised Researcher (R2
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description LEPMI (CNRS/Grenoble INP/UGA) is
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is to be the “EO innovation hub” connecting EO with a growing ecosystem of disruptive and transformative innovations such as AI, machine learning, quantum computing, edge computing, metamaterials and