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Field
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Neural Network hardware. -> You will be part of a dynamic team in Manchester with access to specialised laboratory space for thin film deposition and magnetic/electrical/high frequency characterisation and
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Our website uses tracking cookies. By clicking "accept" you give your permission to this website to use tracking cookies. Click here for our privacy and cookie policy Accept Deny Skip to content Menu Close the menu Menu Eindhoven University of Technology Search Search Nederlands NL Search ...
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Summary Research in the Ichinose Lab is in the field of vision and neuroscience. They use the mouse retina as a model system to investigate neural networks and physiological functions and have the
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neural network based methods for designing genome editing strategies to treat rare diseases. The postholder will join a large multidisciplinary team covering molecular methodologies, genomics, single cell
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Learning Theory to work on approximation theory of deconvolution, convolutional neural networks, operator learning, distribution regression, and graph neural networks. Your key responsibilities will be
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theories and the neural networks that underlie these abilities in the invertebrate brain are also required. Additional comments The research project is part of the ERC Advanced Grant project COGNIBRAINS (M
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Postdoctoral Research Associate in Deep Learning Theory to work on approximation theory of deconvolution, convolutional neural networks, operator learning, distribution regression, and graph neural networks
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improve ocean circulation models. A neural network has already been demonstrated to model the misfit between the ocean model and observations. The new research will involve training a new machine-learned
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system for prototyping neural networks, to the latest NVIDIA H100 architectures for limited projects, and the potential to scale algorithms (e.g., foundation models) on the fastest high-performance
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, computational neuroscience, biostatistics, or clinical neuroscience are highly desirable. Strong mathematical skills, knowledge of neural ODEs/SDEs or recurrent neural networks, and a focus on explainable machine