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interdisciplinary research team. Vacancy: Research Fellow (AI Scientist) – Educational AI, Learning Analytics, and Immersive Simulation The Research Fellow will lead and support AI and data science workstreams across
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terminal degree in Civil or Environmental Engineering, hydrology, ecology, geosciences, computer science, applied mathematics, data analytics, or related fields at the start date. Candidates will need
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objective of ATMRI is to support research and innovation in air traffic management. ATMRI focuses on developing practical and data-driven solutions for complex aviation systems, in close collaboration with
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www.icord.org for more information. Additional information about Dr. Krassioukov‘s laboratory can be found at: http://icord.org/researchers/dr-andrei-krassioukov/. Work Performed: The postdoctoral fellows
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. Must have strong organizational, critical thinking, interpersonal skills. Must be highly motivated and independent and be able to supervise PhD/master students. For more information about our laboratory
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the research project – “Advancing spatial methodologies and applications toward scalable and explainable GeoAI”. He/She will be required to: (a) develop spatial algorithms, big data analytics methodologies
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national health registries, advanced analytical methods, and clinical trial data to inform regulatory decisions, clinical practice, and public health. Read more about UIORWE here: Capitalizing on Norwegian
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the effectiveness and safety of pharmaceuticals. The initiative leverages Norway’s national health registries, advanced analytical methods, and clinical trial data to inform regulatory decisions, clinical practice
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pavement design and balanced mix design standard development. • Model pavement behaviours using analytical and numerical methods with the end goal in modification of mechanistic empirical pavement design
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: A PhD or near completion in Economics, Economic Geography or a related field. If near completion, final submission of a PhD must take place before 1st of July 2026 High level analytical capability