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achieved in fabrications of coupled double-drum resonator networks, financially supported by EU project Chist-ERA NOEMIA and French ANR-MORETOME projects. A simple reservoir computing function and training
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the past few decades, remarkable progress has been made toward constructing functional quantum processors. However, to build fully capable quantum computers and networks, a wide range of complementary
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valorization and dissemination of the results.The postdoctoral researcher will also have the opportunity to propose and supervise internships and to contribute to the supervision of PhD students and early-career
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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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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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needed for wet-bulb temperature retrieval -Co-locating satellite data with ground-based HadISD stations -Running neural networks and finding the architecture best suited to a case study on India
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toxicology. The successful candidate will benefit from access to state-of-the-art facilities for additive manufacturing, cell culture, microscopy and biomaterial characterization, as well as a network of
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and motivated PhD student to contribute to the development of the next generation of DNA computers, capable of processing large molecular databases. The project will combine concepts from molecular
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the simulation of turbulent flows using a tensor network representation of the Navier–Stokes equations. Unlike recent approaches based on tensor networks, which simulate fluid flows in physical space using finite
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FieldTechnologyYears of Research ExperienceNone Additional Information Eligibility criteria • PhD in microwave engineering, RF/microwave circuit design and simulation, or radiofrequency material characterization