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modeling the dynamic of the data evolution is clearly important. The purpose of this postdoc position, within the Institut 3IA Côte d'Azur (Univ. Côte d’Azur & INRIA), will be focused on the development and
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analyzed. The tensor model structure estimated by suitable optimization algorithms, such as that recently developed in [GOU20], will be considered as a starting point. • Exploiting data multimodality and
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to modelise DNA repairs Test of various algorithms to solve these models Development of an highly efficient code, based on Kokkos, to implement the previous Skills : You have a master and/or an engineering
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the use of synthetic data in precision medicine research and applications through development of AI algorithms, tools and other processes to allow for the enrichment of clinical data sets Providing training
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research work will be to devise efficient algorithms for source separation in DAS measurements. Issues such as large data volumes that can exceed 1 To per day and per fiber, instrument noise, complex nature
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school within IMT (Institut Mines-Télécom), France's top engineering school group, aims to support and train responsible engineers and put scientific and technical excellence at the service of teaching
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models make it possible to evaluate the behaviour of tidal turbines over several tidal cycles, but not very precisely. The models developed on a more local scale are beginning to be sufficiently reliable
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typically around 200nm in the transverse plane and 400nm in the optical axis. Over the recent years, several super-resolution techniques have been developed to overcome this drawback. Among them we focus
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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 Mission : This PhD work is part of the development of future-generation
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, renewable for 6 months As part of the ITEC (Ionospheric Total Electron Content tsunamimeter) research project, which aims to develop a demonstrator for detecting and inverting the ionospheric signature