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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 Context: The “Smart Waves” program
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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 Les amas de galaxies qui se forment à l'intersection des filaments de
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the exact calculation of the square-root and inverse square-root of the source distribution covariance matrix. This approach offers analytical and computational advantages in comparison to existing methods
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-world medical use case to validate the long-term application of Quantum Key Distribution (QKD) and Post-Quantum Cryptography (PQC) in operational hospital environments. The project represents a major step
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Deadline 1 Mar 2026 - 23:59 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Mar 2026 Is the job funded through the EU Research Framework Programme? Not
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The postdoctoral researcher will play a central role in
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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 Type of contract : Fixed-term contract
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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 Host Institution fluiidd is a deep-tech startup and CEA spin-off developing
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French National Research Institute for Agriculture, Food, and the Environment (INRAE) | Le Rheu, Bretagne | France | 3 months ago
2026 Is the job 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 You will carry
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of several researchers working in the field of inverse problems due to their ability of combining variational inference approaches with the ability of neural networks to learn unknown posterior distributions