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Field
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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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slicing. - Develop advanced AI/ML algorithms and data analytics techniques to automate and optimise exposure requests, adapted to available resources and real-time demand. - Propose and
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Simulation and Physics of Drosophila Larva Body Dynamics Introduction The “STRETCHED” project aims to develop a robust, physics-based 3D simulation platform to replicate the motor control dynamics
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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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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The project involves developing and analyzing stochastic
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available for clinical therapies or in development in the drug discovery pipeline [14], there are currently no diagnostic approaches based on detection and quantification of PK activities. Although
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to macroevolutionary questions related to a better understanding of the tree of life, will involve the development and application of complex sequence evolution models (mixture models) and molecular dating, within both