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, experience working with large-scale geospatial datasets and high-performance or cloud computing, and demonstrated expertise in advanced machine learning. Experience leading research projects, managing budgets
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-constrained Physical AI by dynamically distributing and adapting AI workloads across embedded devices, the edge, and the cloud, while jointly orchestrating communication, computation, and sensing under strict
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7 Oct 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Communication engineering Engineering » Computer engineering Researcher Profile
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system integrates robotics, automated sample handling, sensor networks, imaging systems, cloud computing, and machine-learning-based analytics. The research work at NTNU will focus particularly
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slowly, or act quickly but lack robust planning. Frontier models typically depend on heavy compute, cloud inference or controlled settings, limiting real-world use under compute, latency and energy
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a single place. They will be built from software functions that are placed, scaled, and moved across devices, base stations, edge sites, and central clouds, often owned and operated by different
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Research Framework Programme? Not funded by a EU programme Reference Number RUGGED-BIM-3 Is the Job related to staff position within a Research Infrastructure? No Offer Description The Institute of Systems
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(Europe/Rome) Country Italy Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Nov 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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19 Sep 2026 Job Information Organisation/Company Wageningen University & Research Research Field Agricultural sciences » Agricultural products Computer science » Informatics Computer
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a strong background in artificial intelligence and 3D computer vision, with solid programming skills and an interest in 3D data processing (e.g. point clouds and neural scene representations), along