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growth methodology based on real-time growth monitoring enabled by advanced in situ characterization tools (RHEED, ellipsometry, curvature measurements, flux monitoring), coupled with machine-learning (ML
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approach based on Deep Learning algorithms will be developed and implemented to obtain additional information by coupling the recorded data. Furthermore, the increase in acquisition rates of measurement
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Institut de Recherche pour le Développement (IRD) | Sete, Languedoc Roussillon | France | 10 days ago
analysis, gravity models, Bayesian models, etc.). In this regard, proficiency in software is required: programming languages such as R or Python, machine learning, econometric softwares, data management
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macro- scales at IJL, and to train machine learning models to predict the microstructure evolution at larger scales and longer times at SIMAP lab and Laboratoire Analyse et Modélisation pour la Biologie
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on the interaction between human cognition and language—understood as a cognitive entity, a means of communication, an object of learning and lifelong development, and a sociocultural phenomenon. Mission : Background
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mathematical models using a reasonable number of physical variables; (2) the observations of extreme weather events used in the learning bases of DNNs are much rarer than those of standard events. This induces a
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year of doctoral studies, the candidate will have the opportunity to acquire and develop digital research tools. Research questions may address concept annotation in small corpora, historical linguistics
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opportunity to learn, grow and play a key role within a centre of excellence. …AND THAT’S NOT ALL! You may be interested in the benefits that come alongside your main role: A cutting-edge research ecosystem
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Technologies de l'Information et de la Communication Field: Telecommunications / Machine Learning / Statistical Signal Processing. Research Lab: L2S (Laboratoire des Signaux et Systèmes) Advisor: Antoine BERTHET
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Non-human Primates Using a Network of Computerized Automated Learning Device (ALDM) Test Systems. JoVE, 2015. 99:e52798. 10. Gelardi, V., et al., Measuring social networks in primates: wearable sensors