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, takes place in the frame of the SF-PLANT project of PEPR SupraFusion which aims at assessing the impact of high temperature superconductors in the design of fusion power plants. The prediction of plasma
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media in order to identify predictive markers. Of note, we are focusing on human embryos since results clearly show that molecular differences with mouse or stem cell models call for more work on human
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to the specification and analysis of data from major space missions (SMOS, Biomass, Venµs, Trishna) and develops models capable of describing and predicting the evolution of continental surfaces under various pressures
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potential. This post-doctoral project aims to develop a predictive model of tumor growth based on artificial intelligence (AI) approaches capable of integrating data from morphological MRI and MRS
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and sophisticated planning capabilities by enabling an agent to learn a predictive model of its environment. However, the direct application of current MBRL methods to safety-critical domains, such as
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.) together with advanced artificial intelligence methods. The main objectives are to: ➔ design and experiment with multimodal AI models to improve the diagnosis and prediction of battery aging; ➔ explore and
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will incorporate predictions of changes in local energy use and consumption, as well as the specific characteristics of the use cases studied (port applications). Objectives The main objective of this 12
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developed using finite element analysis (FEA) between LMGC, ICube and LEM3 Labs to model the behaviour of Wharton's jelly samples in an ex vivo and in vivo context. Predictive tools, based on previous models
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Inria, the French national research institute for the digital sciences | Bron, Rhone Alpes | France | about 2 months ago
. Test model predictions in behavioral experiments. Investigate how principles of biological adaptability can inform the design of efficient and robust learning algorithms for artificial systems
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to quantify experimentally and numerically due to the spatial variability of the microclimate within an agroforestry system and the existence of antagonistic processes. Nevertheless, successfully predicting