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for recruitment positions for general criteria for the position. Preferred selection criteria Experience with spatial data analysis and integrating qualitative and quantitative datasets using platforms such as GIS
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PhD Position Simulating the Airspace of the Future: Fleet & Network Optimization for Future Aircraft
include other domain models for optimization (e.g. noise) in collaboration with other departments of the faculty of aerospace engineering. This PhD position is part of the Dutch Aviation Systems Analysis
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intelligent built environments, and analysis of behavioral and physiological data. The work also includes the development of personas, the use of LLM‑enhanced decision narratives, and agent-based social
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in finite-element analysis Experience in medical image analysis and data processing Basic knowledge of and/or experience in AI-driven models The ability to manage multiple tasks effectively Excellent
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climate control to direct crop-centric control. This paradigm shift relies on breakthroughs in microclimate sensing, interpreting crop performance by integrating sensor data at different temporal and
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biology, AI guided protein engineering and chemical analysis, you will establish the molecular basis of REE binding and discrimination in naturally evolved lanthanophores, establishing the ‘rules’ of REE
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involving human participants Interest or background in cognitive modeling, human decision-making, or behavioral data analysis Ability to take initiative and work independently Affinity with teaching and
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involving human participants Interest or background in cognitive modeling, human decision-making, or behavioral data analysis Ability to take initiative and work independently Affinity with teaching and
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cities with headquarters in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application
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competences in one or more of these categories: railway/structural engineering, structural dynamics, vibration measurement and analysis, structural health monitoring, data science or related fields. Programming