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secondments (one academic, one non-academic) abroad. Participate in training events, workshops, and conferences organized by the MINARET Doctoral Network. Collaborate with international supervisors and peers
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-academic) abroad. Participate in training events, workshops, and conferences organized by the MINARET Doctoral Network. Collaborate with international supervisors and peers. Contribute to departmental
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) abroad. Participate in training events, workshops, and conferences organized by the MINARET Doctoral Network. Collaborate with international supervisors and peers. Contribute to departmental activities
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network models of brain’s cognitive and perceptual capabilities. In particular, you are expected to build and study cortex-inspired feed-forward and recurrent networks within the context of semi-supervised
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programme is available at: https://www.soclaw.lu.se/en/research/doctoral-studies/phd-handbook General Requirements The requirements for admission to third cycle courses and study programs (in accordance with
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- Physics-informed foundation models for autonomous navigation, where learned models account for the robot's dynamics and the physical properties of the terrain - Multi-robot collaboration over mesh networks
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models for autonomous navigation, where learned models account for the robot's dynamics and the physical properties of the terrain - Multi-robot collaboration over mesh networks, with shared mapping and
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well as network, system, software and hardware engineers and scientific software experts. We promote a DevOps style cross functional team and encourage mutual support between all team members. Would you like
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Innovation Network center SWE-WIN, which aim to advance resilient, robust, and energy-efficient wireless networks capable of supporting emerging services. The research focuses on resource management and
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healthcare environments in collaboration with hospital IT departments, PACS administrators, and network and security officers Develop new functionality and new clinical applications together with our AI