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Field
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probably fair to say that an artificial neural network can perform better than a human in any environment it has complete knowledge of. These developments however impose growing demand on our computing
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humans in playing board and computer games, driving cars, recognizing images, reading and comprehension. It is probably fair to say that an artificial neural network can perform better than a human in any
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(posted 2025/10/06 05:00 AM UnitedKingdomTime) Position Description: Apply Position Description Sparse Neural Network Design Postdoctoral Research Associate Los Alamos National Laboratory Los Alamos, New
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of the project is to design, model and simulate neural networks based on magnetic skyrmion nucleation and propagation. The second objective is to fabricate these hardware neural networks, characterize
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The postdoctoral researcher will join the "Network Dynamics & Computations" team led by Srdjan Ostojic and develop research projects on modeling neural circuits and their role in behavior. The work will focus
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cell, foundation models, graph neural networks, or multimodal omics integration). Epigenetics (DNA methylation, chromatin analysis, single-cell epigenomics). Stem cell research (iPSC culture
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at least two of the following areas: AI/machine learning for biological modeling (e.g., virtual cell, foundation models, graph neural networks, or multimodal omics integration). Epigenetics (DNA methylation
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: to understand the neurophysiological mechanisms and brain networks involved in neurological and psychiatric disorders (epilepsy, Parkinson's disease and obsessive-compulsive disorder), and to optimise
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interdisciplinary environment spanning explainable AI, causality, knowledge representation, and neural networks. Research (90%) research in probabilistic machine learning and neuro-symbolic AI (e.g. neural nets
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 10 days ago
to reconstruct open rose flowers in 3D. The key idea is to learn two neural networks that operate on different scales. The first network operates on the scale of the full flower to identify the flower architecture