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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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We are looking for a highly motivated neuroscientist or engineer as a Postdoctoral Researcher to join the Liebscher Lab (https://sysneuro.i-med.ac.at), where we investigate how neural circuit
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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