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of the auditory pathway using multi-electrode arrays. Requirements We are looking for individuals who want to study neural coding in the context of hearing and who meet the following criteria: 1) PhD in
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the ability of neural networks to learn unknown posterior distributions distributions. Their use in the field of image microscopy, however, remains limited. The purpose of this PhD thesis is to develop
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familiar with. Indeed, one option is to develop hybrid architectures on the model of PointSIFT [Jiang, 2018] in which the first layers of the network are “freezed” on handmade keypoints, corresponding
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experiments. The objective is to develop Bayesian causal models and neural networks capable of identifying relevant causal relationships between instrumental parameters and observed anomalies. The work will
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zero net magnetization. The objective is to understand the interplay between magnetic and structural degrees of freedom gives that give rise to this novel phase, and to explore how the properties can be
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of the domain, while the pre-processing step of geometry manipulation and mesh generation is one of the most important efficiency bottlenecks in such methods. The challenge is more prominent in modern, real-world
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The Dynamics of Biomolecular Networks (DYNABIO ) cluster of excellence at the Université Côte d’Azur (Nice, France) brings together 85 research teams from six local biology institutes: C3M (Centre
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The Dynamics of Biomolecular Networks (DYNABIO ) cluster of excellence at the Université Côte d’Azur (Nice, France) brings together 85 research teams from six local biology institutes: C3M (Centre
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of data, especially heterogenous data made of several data types (continuous, texts, images, times series, networks, …). For example, social and communication networks allow users to interact through text
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production of data, especially heterogenous data made of several data types (continuous, texts, images, times series, networks, …). For example, social and communication networks allow users to interact