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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 21 hours ago
2 Oct 2026 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Researcher Profile First Stage Researcher (R1
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domains where data cannot be directly shared, such as healthcare and finance, the ability to selectively remove the influence of specific data from trained models becomes critical. Yet, despite the EU’s
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | about 21 hours ago
circuits, a generalisation of classical logic circuits. Another approach is the one-way model of measurement-based quantum computing, which exploits quantum entanglement and the property that quantum
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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 We are seeking a highly motivated and talented individual to work as a
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Primary supervisor - Dr Thomas Anthony Haynes Pellet-clad interaction (PCI) is a complicated phenomenon, relatively poorly captured in current commercial fuel performance codes. Models have been
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the EU Research Framework Programme? Not funded by a EU programme Reference Number 260479 Is the Job related to staff position within a Research Infrastructure? No Offer Description The Energy, Climate
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prediction and treatment-response modelling. The researcher will collaborate closely with computational scientists, breast pathologists, radiologists and molecular researchers across the international M4GIC
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experimental approaches with computational modeling to investigate how RNA-mediated alterations contribute to early neurodegeneration in Alzheimer's Disease. The student will use iPSC-derived models and single
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technologies based on a digital twin. The digital twin will combine information from the physical structure with models and monitoring data to assess its current structural state and predict its remaining
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white matter. The network aims to strengthen the full translational pathway, from understanding disease mechanisms and developing disease models to preclinical therapy testing, clinical readiness and