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Inria, the French national research institute for the digital sciences | Sophia Antipolis, Provence Alpes Cote d Azur | France | 1 day ago
computer networks. Knowledge in one or more of the following fields: Data Science / Statistics, Machine Learning, Artificial Intelligence, Federated Learning, Distributed Systems, Optimization. Experience
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the Nordic region and municipality/industry partners on real use cases for e-health solutions conducting research in software systems, distributed systems, network technologies and advanced data analysis
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systems, from sustainable energy grids to autonomous mobility. In this ERC-funded PhD project, you develop cutting-edge game-theoretic control and optimization methods. Job description Modern society
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consumption throughout manufacturing and their use in smart cities or other smart methodologies. HVL contributes their experience in distributed, dynamic, heterogeneous systems that integrate sensor networks
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framework, collaborate across multidisciplinary networks (biologists, clinicians, materials scientists, and pharmaceutical researchers), and mentor PhD candidates and junior researchers. Where to apply
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frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and database systems
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distributed sensing technologies. The role will focus on distributed acoustic sensing on pre-existing telecom fiber networks, mobile sensing using vehicle fleets, multi-modal data fusion, and structural system
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Description The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a PhD stipend in the field of wireless-native Physical AI Systems within the general study
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experimental efforts relevant to Quantum Networks. This includes both quantum communication e.g. with cryptographic relevance, such as quantum oblivious transfer, and distributed quantum computing. Theorists and
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expertise in either Scalable Data and Computing Systems or Software and Network Security, who will contribute to teaching across the Computer Science curriculum and establish an active, impactful research