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Field
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of this project is a novel on-chip hybrid nanostructure platform for energy-efficient, fast artificial neural networks and integrated sensor arrays. The project combines several different concepts: Progress in
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group investigates the cellular and molecular mechanisms wiring neuronal networks. The candidate will join a project aiming at understanding how migrating neurons, developing axons and endothelial cells
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of Liverpool, and Prof James Chalmers at the University of Dundee. You will be sited within the vibrant research environment of the School of Biosciences but will work closely with the collaborative network
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individual talents. As one of the best research universities in Europe, the University of Groningen has joined forces with other top universities and networks worldwide to become a truly global centre of
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Europe | 2 months ago
approaches for telecommunicationsHost institution: UNILIM, FranceSupervisors: Prof. P. Roy (UNILIM)DC 10 – OpenProject Title: Design of wavelength space division multiplexing MCF-based passive optical networks
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), Deep Neural Networks. Probabilistic Machine Learning and Time-series Analysis. Industrial applications of AI (energy, process industry, automation). Software development experience in teams. Programming
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characterize target workloads for the FNS 6G initiative (e.g., data analytics pipelines, network functions virtualization, data‑plane acceleration).- Investigate what techniques and abstractions are most
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has joined forces with other top universities and networks worldwide to become a truly global centre of knowledge. Within the Faculty of Science and Engineering, a 4-years PhD position is available
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the areas of biochemistry, structural biology, biophysics, cell biology, systems biology, and computational biology. We are looking for outstanding graduates from all over the world to join our network
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coalitions for delivering reliable, low-carbon energy services. Collaborating closely with UK Power Networks, SSE Energy Solutions, and the University of East London, you will develop robust economic Model