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of incorporating our physical findings into the GlaDS model by representing a distributed drainage system in which conduits and cavities are connected in series. The candidate will be required to test and compare
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Inria, the French national research institute for the digital sciences | Sophia Antipolis, Provence Alpes Cote d Azur | France | 13 days 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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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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. EHESP is a member of the network of public service schools (RESP), France Universities and the conference of Grandes écoles (CGE). EHESP is also a component institution of the University of Rennes (Public
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. Benefits eligibility is subject to employment status, full-time equivalent (FTE) workload, and weekly standard hours. Please visit our website at https://hr.wustl.edu/benefits/ to view a summary of benefits
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 5 hours ago
, 2027. This position is part of the Canada Excellence Research Chair Network for Equity in Sustainability Transitions (CERC-NEST). The CERC NEST uses a transdisciplinary, comparative and action-centred
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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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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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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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framework, collaborate across multidisciplinary networks (biologists, clinicians, materials scientists, and pharmaceutical researchers), and mentor PhD candidates and junior researchers. Where to apply