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models, whilst respecting the specific spatial structure induced by river networks. - Cleaning, structuring and analysing historical long-term monitoring data (approx. 200 sites). - Adaptation and
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to the dissemination of ultra-stable frequency and time references over telecommunication networks. Its optical-fiber network and laser stations also provide an experimental platform for the development of new
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determines observables of the replication program such as the Mean Replication Timing (MRT) and the Replication Fork Directionality (RFD) profiles. We proposed a strategy to train a neural network to infer
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. • Get familiar with existing libraries for working with tensor networks in the Julia programming language (ITensors.jl, Tensor4all.jl, …). • Implement different tensor network topologies (e.g. tree tensor
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. Activities - Literature review and data compiling - Planification and realization of biochemical experiments (assembly of biochemical reaction networks) - Data analysis and regular (weekly) reporting
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on neural networks whose parameters are trained on simulations (SBI — Simulation-Based Inference). The recruited person will work within the ZTF, LSST/DESC and Lazuli collaborations to implement cosmological
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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 In oral interactions, speech prosody, which includes
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description In oral interactions, speech prosody, which includes intonation and rhythm, is a
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, information and communication sciences, anthropology, history, and geography. This teamwork will be carried out within the framework of INRAE's national viability network. The successful candidate will benefit
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-interaction networks associated with the centrosome and primary cilium, with particular emphasis on the molecular mechanisms linking protein disorder, multivalency, cellular organization, and human disease