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development, and experimental validation in the Norwegian Cyber Range. Are you motivated to take a step towards a doctorate and open up exciting career opportunities? As a PhD research fellow with us, you will
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datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er
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together with the successful candidate and in dialogue with the relevant academic and external research environments. Duties of the position Develop machine-learning methods for detecting, localizing
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Engineering Laboratory (HRE Lab), providing the candidate with access to advanced experimental infrastructure and opportunities to contribute to the further development of the laboratory’s research and
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written communication skills in 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
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datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er
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industry. In this project, you will develop game-theoretic AI frameworks by integrating Data-driven intelligence with principled decision structure for multi-agent decision making in energy systems. In
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Researcher bridging immunology, genomics and proteomics (academic-industry collaboration) ref 299482
will involve developing de novo sequencing workflows for antigen-specific antibodies, building proteogenomic pipelines to assemble VH/VL sequences and identify clonotypes. Data will be integrated
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at the crossing of statistics and machine learning. Modern vessels produce vast amounts of multivariate data streams. The project addresses the development of trustworthy statistical and machine learning methods
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that relates diagrams to composition temperature, pressure, synthesis, processing and uncertainty? The PhD candidate will develop and evaluate large language models (LLMs) assisted methods for extracting