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Applicants must hold a relevant master’s degree in telecommunications, computer networks, computer science, or a closely related field, with a strong background in computer networking and distributed systems
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a strong background in computer networking and distributed systems, including protocol stacks and network performance concepts. The degree must correspond to a five-year Norwegian degree programme
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on the problem of making distributed machine learning robust to network outages and computational bottlenecks. The work is part of the Norwegian national AI centre SURE-AI, and the PhD student will
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motivated candidate for a full-time (100%) PhD position for 3 years in “Development of Probabilistic Reliability Criteria in Distribution Grids”. You will join the research group Power System Operation and
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a highly motivated candidate for a full-time (100%) PhD position for 3 years in “Development of Probabilistic Reliability Criteria in Distribution Grids”. You will join the research group Power System
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24th April 2026 Languages English English English The Department of Electronic Systems has a vacancy for a PhD Candidate in Distributed Machine Learning Apply for this job See advertisement This is
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» Autonomic computing Engineering » Maritime engineering Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 18 Apr 2026 - 23:59
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of renewable energy sources (RES), distributed devices, and digital technologies is transforming traditional power systems into highly interconnected Internet-of-Energy (IoE) ecosystems. In this context
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herbivores space use behavior in relation to snow conditions, data is required at cm to m resolution. This PhD project will develop and apply remote sensing methods to advance terrestrial snow monitoring
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First Stage Researcher (R1) Positions PhD Positions Application Deadline 6 Apr 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Is the job funded through the EU