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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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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
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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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data-driven services. While these developments create new opportunities, they also introduce cyber risks that may affect safety, security and operational continuity. Managing these risks requires
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industries. Our research includes developing concepts for renewable-driven technologies and system solutions to decarbonize the chemical and energy industries, including carbon capture, utilization and storage
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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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the Cortex (https://www.ntnu.edu/kavli/centre-for-algorithms-in-the-cortex) will be funded for 10 years by the Norwegian Research Council. The scientific goal of the Kavli Institute for Systems Neuroscience
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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