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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position Distributed machine learning takes advantage of communication and
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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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constraints. Depending on background and interests, the work may involve robust detection under distribution shifts and unseen interference conditions, resilient federated/decentralized (collaborative) learning
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Norwegian master’s degree. Please see https://hkdir.no/en/ for more information about HK-dir’s general recognition. The review process by HK-dir may take some time. Therefore, please submit your application
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distributions, involving both in-situ studies of evolving solidification microstructures and ex-situ studies of the final as-cast components. Developing and applying high-throughput data analysis methods
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three years. The fourth year is distributed as 25 % each year and will consist of teaching and other duties. The objective of the position is to complete research training to the level of a doctoral
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vendors, each with their own management interfaces, data formats, and access restrictions. In parallel, AI-driven services are increasingly deployed in a distributed fashion, with inference spread across