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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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GraphNeuralNetworks.jl and WorldDynamics.jl. Depending on the candidate’s interests, the research topic will be tailored to one of the following directions: • Sparsity and Structure in Neural Networks. We are interested
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this Ph.D. topic proposal: • The optimal approximation of 3D shapes using meshes is known to be a NP-hard problem. This means that finding the best possible mesh representation for a given shape, while
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Location:Neural Coding in the Auditory System group, Institut de l’Audition , Paris. Type of contract: 12-month fixed-term contract (CDD) – The contract is initially for 1 year but can be extended
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Campus and throughout the EMBL network. You have You have a proven ability and strong ambition to investigate fundamental biological questions, whether through groundbreaking discoveries or methodological
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The recruited engineer will be co-supervised by MdS and Joliot to implement this new approach. To achieve a portable, efficient code that fully exploits GPUs, the core of the code will be developed
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experimental data and is testable across multiple unlearning scenarios. For this we plan to apply for the first time Spiking Neural Networks (SNNs) to the modeling of unlearning. SNNs have recently shown
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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