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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 4 days ago
, Pengwenlong Gu, Cedric Adjih, Paul Muhlethaler, Ahmed Serhrouchni, "DS-IRSA: A Deep Reinforcement Learning and Sensing Based IRSA" in IEEE Global Communications Conference - GLOBECOM 2023, Kuala Lumpour
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to explore new analysis methods using deep learning. Depending on the interest, it is also possible to be involved in the wet lab. Professor Tiwari also leads the Center for Integrated Multiomics in Precision
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Inria, the French national research institute for the digital sciences | Bron, Rhone Alpes | France | 20 days ago
, “Learning the value of information in an uncertain world,” Nature Neuroscience, vol. 10, no. 9, pp. 1214–1221, 2007. A. Ferguson and J. A. Cardin, “Mechanisms underlying gain modulation in the cortex,” Nature
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 6 hours ago
involves processing and harmonizing high-resolution NASA EO data. Subsequently, we will architect and train an ensemble of deep learning and statistical models capable of identifying key wildfire drivers and
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National Aeronautics and Space Administration (NASA) | Cleveland, Ohio | United States | about 6 hours ago
. Description: Exploration to deep space will require unprecedented levels of reliability and resilience to ensure mission success. Studies have shown that a high percentage of faults that occur onboard
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research. This exciting position offers a unique opportunity to develop cutting-edge Knowledge Guided Machine Learning (KGML) methods informed by ecosystem modeling of agroecosystem carbon and nitrogen
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and develop skills in the growth of cultured tissue, an area of growing academic and industrial interest Opportunities to develop skills in biophysical models of tissues and deep learning techniques Key
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to explore new analysis methods using deep learning. Depending on the interest, it is also possible to be involved in the wet lab. Professor Tiwari also leads the Center for Integrated Multiomics in Precision
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in the Earth's outer core, with implications for deep Earth processes [1]. A variety of inverse methods (data assimilation, machine learning, etc.) has been employed to recover the fluid motions in
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In this Postdoc you will investigate methods for risk-aware navigation among decision-making agents, using learning and optimization, and apply them to self-driving cars and teams for quadrotors