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Shen Yidong. The school’s computer science discipline has consistently ranked in the global top 1% in the ESI rankings, with a particularly strong position in the area of Artificial Neural Networks
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computational modelling using artificial neural networks. It brings together teams led by Mohamady El-Gaby (Oxford Experimental Psychology), Matthew Nour (Oxford Psychiatry), Rick Adams (UCL), and Maria Eckstein
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machine learning is emerging as a promising avenue for solving problems in physics and engineering. Particularly, physics-informed neural networks (PINNs) have shown remarkable potential to solve problems
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. PREFERRED QUALIFICATIONS Strong understanding of the mathematics of neural networks, large deviations theory, and measure theory. Prior significant contributions to advanced machine-learning or deep-learning
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dynamics enabling naturalistic animal behavior? Our labs aim at building mechanistic models of brain function grounded in a combination of theoretical approaches, neural network-based simulations, and
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) experience with neural network training and language model fine-tuning; (2) background in natural language processing, linguistics, and/or human reasoning; (3) strong coding skills; and (4) strong
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, cancer biology, genetics, biostatistics, neuroscience, immunology, and behavioral medicine and interventions, offering research opportunities focusing on the interactions of genetic, molecular, neural
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learning problems involving a-priori known symmetries. A simple example are convolutional neural networks, that are known to be invariant towards translations. Using representation theory, one can build
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to Professor Bas Rokers. Linking Retinal, Neural, and Perceptual Deficits in Visual Disorder: Individuals in the UAE are at substantial risk for perceptual deficits due in part to one of the highest diabetes
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. Ideally, we would like to know the cochlear output precisely to study its effect on neural representations. However, because cochlear mechanics and neuronal processing are reciprocally coupled through