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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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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 | 1 day 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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interdisciplinary areas. Research fields of particular interest include, but not limited to: biomedical science and engineering veterinary science computer science and data science neuroscience and neural
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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
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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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 hours ago
seek outstanding candidates in each of the following areas: (1) Human Neuroscience of Substance Use Disorders. We seek candidates conducting human-subjects research focused on the neural mechanisms
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methodologies, explainable neural networks, and hybrid methods for nowcasting visibility and cloud ceiling in an aeronautical context. 4) Develop automatic decision support tools for risk mitigation in airport
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at UMass Boston is a vibrant and collegial group of faculty with research interests in Artificial intelligence, Data Science, Bioinformatics, Neural networks and programming languages, and significant