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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description artificial intelligence-based pricing algorithms are rapidly
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position within a Research Infrastructure? No Offer Description The position targets the design and evaluation of novel architectures, programming paradigms, and parallel algorithms for AI accelerators
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30 Sep 2025 Job Information Organisation/Company Università degli Studi di Cassino e del Lazio Meridionale Research Field Engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Country Italy Application...
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researcher in algorithmic game theory and/or online learning, working with Prof. Celli at BIDSA and the Department of Computing Sciences. The project studies how multiple machine learning algorithms interact
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streaming data required by modern AI algorithms... Where to apply Website https://lavoraconnoi.unitn.it/contratti-di-ricerca/dipartimento-di-ingegneria-e… Requirements Additional Information Eligibility
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network aims to deliver fiber-optic quality experiences over wireless links by building the theoretical, algorithmic, and architectural foundations of THz systems. It introduces ultra-MIMO (multiple-input
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methodologies for measuring social and environmental impact. The main activities will include analyzing available impact data sources, designing models for impact assessment, and developing algorithms
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networks. The activities will include the development of algorithms for processing seismic and geodetic signals, subsurface imaging, dynamic characterization of sites and structures, as well as monitoring
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at the Edge (CAITE) whose aim is twofold. First, it aims to bring AI at the edge, by providing scalability and resource efficiency through the development of cooperative, distributed AI algorithms, optimising
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clustering algorithms. 2) M20 / Duration 3 months/ SCM (Amsterdam (NL) (supervisor at hosting institution: Stan van Gisbergen) Goal: acquire experience on specific features of BAND and new VCD code. Training