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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 13 hours ago
Research Framework Programme? Horizon 2020 Reference Number 2026-09952 Is the Job related to staff position within a Research Infrastructure? No Offer Description The research focuses on the development
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focused on exploration and development of AI models of auditory perception, towards a broader goal of understanding how the brain predicts and learns from human communication sounds such as speech and music
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motivated postdoctoral researcher to develop and apply imaging-based and computational approaches to identify predictive nuclear signatures of cell fate. The project combines experimental and quantitative
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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 develop an approach
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gamma rays ans neutrinos. The retained candidate will implement support of VHE neutrino Instrument Response Files (IRFs) in the Gammapy library. She/he will also develop tools to support proper neutrino
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intelligence, and multimodal learning. The main objective of this position is to develop novel generative AI methods for computer vision applications, with a particular focus on Diffusion Models and Vision
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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 The recruited person will be responsible for developing a protocol to detect
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: The objective of this postdoctoral position is to develop an effective method for solving black box problems involving both discrete and continuous variables. Once developed, this tool could be released as open
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models are deeply rooted in real-world biological data. The collaborative approach allows for the development of predictive models that bridge the gap between theory and experiment, with a focus on high
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Prof. Marc-Emmanuel Dumas in Lille, France. The successful applicant will develop high-throughput high-resolution mass-spectrometry based metabolomic workflows (automatization of sample preparation