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, Artificial Neural Networks, and neural decoding, including cross-condition generalisation and coding similarity analyses of MEG activity patterns. The project is closely articulated with a PhD project in the
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mechanics, information theory, stochastic processes, population dynamics, and neural networks. Within this framework, machine learning systems and artificial generative models will also be considered, where
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Study neural activity using
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memory, learning, conditioning, neuroscience, computational neural networks, decision-making and/or large language models. Information about Program and College The Department of Psychology is located
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-tracking, neuroimaging, non-invasive electrophysiology and computational modelling. We are particularly interested in formal, computational, biologically inspired, generative or neural-network models
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unsupervised learning. These methods will be based on new classes of partial differential equations on graphs and new graph neural network models based on diffusion processes. The developed algorithms will be
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Inria, the French national research institute for the digital sciences | Gif sur Yvette, le de France | France | 10 days ago
programming language and the PyTorch or TensorFlow environment is required. Experience in machine learning / neural networks is strongly recommended. Candidates must have validated a course in mathematical
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of memristor-based circuits for neuromorphic computing: crossbar structures, vector-matrix multiplication (VMM), artificial neural networks, etc. Where to apply Website https://investigacion.ugr.es/recursos
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with deep-learning, UniGEM aims to build a neural network to estimate epidemiological parameters of P. falciparum, the deadliest malaria parasite species (read [1] to learn more about the ideas behind
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models ranging from baseline approaches to graph neural networks. You will also oversee the open release of project datasets, models, code and documentation. The successful candidate will join Oxford's