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‑violation. For example, the candidate will do some of the tasks including: AI-driven Link Adaptation and MAC control – develop AI-based mechanism that proactively anticipate and respond to rapidly changing
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-powered aircraft structures. Job description How do aerospace materials deform and fail at temperatures approaching 20 K (-250 °C)? And how does their behaviour change under dynamic loading? In this PhD
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to optimize and analyze the developed sensor systems. We are looking for a highly motivated PhD candidate to strengthen our interdisciplinary research team. Be part of change Develop intelligent sensor systems
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. The project will investigate how fungal infection influences aphid behaviour, how aphids modify disease development, and how wheat responds to simultaneous attack by pests and pathogens. Combining plant
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sustainable hydrogen economy in line with Norway's 2030 and 2050 hydrogen roadmap targets. Within the Research Area of Safety and Material Integrity, we are seeking a motivated PhD candidate to conduct research
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behaviour for system monitoring, state estimation, and performance prediction. Build computationally efficient models suitable for monitoring, performance prediction, optimization, and control, and evaluate
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leading to the PhD degree. Conduct and publish research of high quality within the framework described above. Participate in international activities such as conferences and/or research stays abroad
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knowledge into concrete solutions for the challenges of today and tomorrow. These challenges are changing rapidly. That is why we focus on themes such as energy, climate, digitalisation, artificial
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on ocean and coastal dynamics, marine processes, and their response to environmental change through a combination of field observations, data analysis, and numerical modelling. The position is embedded
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offer an innovative academic education to more than 20000 students, conduct pioneering scientific research and play an important service-providing role in society. We are one of the largest, most