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are searching for a motivated PhD candidate to design practical over-the-air computing algorithms and protocols for future edge AI applications. About the employer The research of this PhD position will be
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The National Industry PhD Program is an Australian Government initiative to enhance workforce mobility among graduate researchers, and to promote knowledge transfer between academia and industries
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? We invite applications for a PhD position, focusing on the design and implementation of Spiking Neural Networks (SNNs) using CMOS technology. Project Overview This PhD position is part of a
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One fully funded, full-time PhD position to work with Prof. Mahesh Marina in the Networked Systems Research Group at the School of Informatics, University of Edinburgh. The broad aim
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seeking a highly motivated PhD student to join our team to work on the design and implementation of Oscillatory Neural Networks (ONNs) for physics-based computing applications. You as the candidate will be
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seeking a highly motivated PhD student to join our team to work on the design and implementation of Oscillatory Neural Networks (ONNs) for physics-based computing applications. You as the successful
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The Organic Photonics and Electronics Group at Umeå University, Sweden (www.opeg-umu.com ). The selected PhD student will be an active member of the European Marie Sklodowska-Curie Training Network
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engineering Engineering » Thermal engineering Engineering » Civil engineering Environmental science » Natural resources management Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country
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This self-funded PhD opportunity explores assured multi-sensor localisation in 6G terrestrial and non-terrestrial networks (TN–NTN), combining GNSS positioning, inertial systems, and vision-based
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). Identification of active modules in interaction networks using node2vec network embedding. BioRxiv. 4. Rossetti, G., & Cazabet, R. (2018). Community discovery in dynamic networks: a survey. ACM computing surveys