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(RCN) (2026-2030), focusing on brain-driven multi-sensory robotic avatars for remote collaborative physical work. The DRIVE project involves Simula Research Laboratory and University of Texas at Austin
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focuses on detecting underwater acoustics using AI methodologies. Additionally, CFD simulations combined with physics-informed machine learning will also be examined. Several research and industrial
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security, ethical hacking, and privacy and data protection. For more information about the Digital Security Research Group, see https://www.mn.uio.no/ifi/english/research/groups/sec/ Jarli & Jordan/ UiO via
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https://www.mn.uio.no/ifi/english/research/groups/sec/ Jarli & Jordan/ UiO via Unsplash Jarli & Jordan/ UiO What skills are important in this role? The Faculty of Mathematics and Natural Sciences has a
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English English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade
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to research on some of the following themes: New algorithms for parallel/distributed AI/ML Hardware-aware and resource-efficient partitioning for parallel/distributed AI/ML Optimization of process-to-process
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, materials chemistry, materials physics or materials science Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system Fluent oral and written
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and targeted, computationally expensive, model simulations. This experimental design process is envisioned to update iteratively as new data become available to optimally infer surface fluxes across
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organization of the fighting parties? More information about the project can be found here: https://www.sv.uio.no/isv/english/research/projects/wow/index.html The PhD Fellow is expected to develop a research
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physical principles that govern the coupling between active surfaces and their surrounding fluid environment, and to use this knowledge to inspire new technological applications. The physical designs will be