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graphs and tables for publication and presentation. * Serve as a resource for non-routine inquiries such as requests for statistics or surveys. * Test prototype software and participate in approval and
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, and documents research findings. Prepares statistical reports and graphs for manuscripts and scientific presentations. · Maintains and ensures proper use of laboratory equipment, promoting
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. · Analyzes, interprets, and presents research data. Prepares statistical reports, graphs, manuscripts, and conference presentations. · Maintains and ensures proper use of laboratory equipment, promoting
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simulations. Data-driven materials discovery: ML models for property prediction, materials design, or synthesis optimization. AI/ML methods development: Neural networks, graph neural networks (GNNs), generative
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that align well with our interests. 1) Neural-symbolic AI: Symbolic AI operates on structured data, knowledge graphs, physics theorems, rules, and logic, enabling explicit reasoning and the manipulation
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of funding. The ML Engineer will work on projects that will include developing knowledge graphs based on natural language processing and LLMs. Participation in these projects will include scientific
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patterns. Assess and produce relevant, standard, or custom information (reports, charts, graphs and tables) from structured data sources by querying data repositories and generating the associated
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transactions. 5. Requires the ability to prepare spreadsheets, graphs and charts. 6. Requires the ability to learn and enter, import, and export data to and from databases and college information systems within
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Stig Brøndbo 18th January 2026 Languages English English English Faculty of Science and Technology PhD fellow in “LLMs based Knowledge Graphs towards Digital Twin Development in Green Shipping
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for the future of mobile and satellite communications. Fields of applications range from 5G/6G telecommunications to satellite-based internet connectivity. For details, you may refer to the following: https